Tuesday, March 04, 2008

Magic Number for SaaS Companies

Guest post by Lars Leckie. Another great one and real food for thought.


Josh James, CEO of Omniture (a Hummer Winblad portfolio company), gave an inspiring talk on building a SaaS company last week at the Opsource summit. Josh walked through the history of Omniture as a case study for building a SaaS company. He talked about the need to invest in the company with a firm hand on the wheel as the recurring revenue slowly built up over time. He outlined the different stages of evolution of the company:

1) Product: build a rock solid product. Prove you can sell it as founders before moving past this step.

2) Sell: Sell like crazy, build out a team, hire some QBSRs (Quota Bearing Sales Reps)

3) Retention: focus on churn and retention issues, hire more QBSRs

4) Marketing: spend on marketing, hire more QBSRs

The next phases, not surprisingly, also included hiring more QBSRs but interestingly it is not until later that investments in efficient infrastructure and operations hit their ToDo lists. This outline displays a strong focus on finding a product market fit and then adding gas to the fire as the market opened up. The key metric that Omniture used to decide how much gas to pour on the fire was the Magic Number.

The Magic Number

The magic number ("MN") is a metric that can be used to tell you the health of your company from the perspective of growing monthly recurring revenue ("MRR"). It is a common mode metric to compare companies MRR scaled by sales and marketing spend. The MN provides insight into the effectiveness of previous quarter Sales and Marketing spend on MRR growth. Your MN will be penalized if the spend is wasted (bad marketing, bad sales execution), if your churn is high or if the market has issues (saturation, competitive forces). It also has a very high correlation with Q/Q growth rates so in general, high Magic Numbers are good.

To calculate:

QRev[X] = Quarterly Recurring Revenue for period X
QRev[X-1] = Quarterly Recurring Revenue for the period preceding X
ExpSM[X-1] = Total Sales and Marketing Expense for the period preceding X

Magic Number = (QRev[X] – Qrev[X-1])*4/ExpSM[X-1]

For example, consider a hypothetical company with the following financials
Q1 Q2 Q3
Revenue (recurring total) 1M 1.2M 1.5M
S&M Expense 800K 900K

Then the magic number is 1.0 for the end of Q2 and 1.33 for Q3.

Fundamentally, the key insight is that if you are below 0.75 then step back and look at your business, if you are above 0.75 then start pouring on the gas for growth because your business is primed to leverage spend into growth. If you are anywhere above 1.5 call me immediately.

Josh provided the following gas-pouring throttle chart for SaaS companies to evaluate how much to invest in their go-to-market spend. The data on the charts if from Omniture and other public SaaS companies.

Calculate yours…and get back to me if it is interesting! For fun and extra credit take a look at difference in Magic Number for some of the public SaaS companies like Omniture and SuccessFactors. I can be reached at lars@humwin.com


Tuesday, February 26, 2008

Eat Your Own Dogfood

Guest post by Hummer Winblad's Lars Leckie.....Lars drove our firm's investment in Aria Systems and, most recently, vKernel.

Last week Phil Wainewright wrote a great post (as he always does) called SaaS vendors, eat your own dogfood, or die. In the post, he describes how SaaS companies need to embrace the SaaS services available in the ecosystem.

I support the viewpoint from the post that SaaS companies need to have religion and leverage SaaS in everyway they can – further, I believe if they don’t they leave themselves open for other SaaS companies to disrupt them. From discussions with the infrastructure management of many leading SaaS companies I often hear how they are forced to use some on-premise pieces on the back-end reluctantly. This has provided the motivation for a few of our SaaS infrastructure investments (eg. Aria – SaaS billing and customer management).

Phil’s title had me thinking along another important vein for SaaS companies…literally to eat THEIR own dogfood and use their own product. For example, Salesforce aggressively uses Salesforce to manage prospects, Omniture eats their own analytics for online marketing, Teleo uses their own product for recruiting and SuccessFactors brags about their own talent management. Luckily we don’t all work for tobacco companies…

My belief is that SaaS companies must use their product for a few reasons:

1) Point of View: it puts everyone in the company in the seat of the customer. This means that the internal teams will live the same pain, the same experience and the same leverage that you are espousing as a vendor. This POV extends the advantages SaaS has of bringing the vendor closer to the customer by putting the customer in the office next door.

2) Analytics: By using your own product you will think about the product extensions and depth of how to apply the benefits of analytics to build stronger products and best practices. SaaS companies have a huge edge with analytics so it makes sense to use them internally as well.

3) Sales Roadblock: a fair question for a prospect to ask would be, “if your solution is so great, why aren’t you using it?" SaaS vendors can do their sales team a great favor by getting ahead of this question.

Any interesting SaaS companies that are using their own product and want to reach out – I’d love to hear from you. Please email me at Lars@humwin.com.

Wednesday, February 13, 2008

Embracing Uncertainty

I spent this morning with George Kembel, Director of Stanford University's d. school, and a d. school Fellow, Kerry O'Connor.

The Stanford Institute of Design is an inter-disciplinary school that brings together business school students, engineers, and social scientists into an integrative, iterative, and immersive process of discovery.

The process is integrative in that multiple voices of feasibility (engineering), viability (business), and usability (social science) are baked into the process. The process is iterative in that the teams use rapid prototyping and user testing to discover product/need fit. The process is immersive in that the team is placed in the environment of the targeted user to observe and listen.

The core idea is that innovation must be cross-functional, A/B test driven, and that products are shaped gradually over time through a process of feedback rather than declaratively and upfront. The philosophy holds that rather than fight amongst the team about what to do, solve the argument via data-driven tests that are designed to answer key unknowns.

This implies that the only "right" part of a plan that it is "wrong." Moreover, rather than be paralyzed by that fact, the best teams harness the voices of all key departments in the company, let the user guide them, and invest themselves in a process of data-driven, prototype-driven discovery that slowly peels away the "right" answer.

The competitive position of the company is anchored more on whether it is a learning organization - flexible, nimble, user-driven - rather than whether its founders enjoyed a single epiphany of genius.

With respect to venture capital, the implications are interesting. Most teams pitch three-year plans and product roadmaps. Like the book the Black Swan holds, the odds of the forecasts being right are nil - fundamentally, given the forecast error inherent in any plan, the investment decision should not lean heavily on the proposed plan.

Rather, as George and his colleagues would argue, perhaps the investment should be predicated on a defined user/customer target, a process and fluency with A/B testing and prototyping, an integrated team, and an openness to discovery rather than a priori certainty.

Thursday, February 07, 2008

VKernel and Hummer Winblad Join forces on Virtualization Infrastructure

Guest post by Lars Leckie.

Hummer Winblad is pleased to welcome Alex Bakman and his VKernel team to the Hummer Winblad family. We are very excited for the opportunities ahead and look forward to working together. The recent press release and further details can be found here.

Enterprise IT environments are undergoing one of the biggest shifts in 25 years – shifts that have not been seen since the move from mainframes to client-server. Big shifts in infrastructure open up large gaps in the current management solutions. Virtualized environments provide many benefits to the enterprise from flexibility to lower TCO but along with that have introduced a few headaches too…

- “vmotion” – servers growing legs and dynamically moving
- “vm sprawl” – servers multiplying at unmanageable rates
- Shared resources – performance, monitoring, resource accounting, etc
- Cost visibility – no longer tied to physical resources

vKernel is a new platform for system management in enterprises that are embracing virtual infrastructure to power their businesses. Enterprises IT managers face increasing challenges as virtualization spreads within the datacenter. vKernel provides an essential suite of virtual appliances tailored to meet the virtualized datacenter including chargeback and capacity planning management. These appliances require zero installation, are quick to deploy and provide insights within minutes.

More information can be found on vKernel’s website and webinars – or download the latest virtual appliance to try it out today.

Hummer Winblad’s enthusiasm in virtualization is captured by our investment in vKernel as well as several other companies including Scalent and Akimbi (acquired by VMWare).

Monday, January 28, 2008

OnMedia NYC

I will be in NYC this week for the OnMedia NYC conference.

The conference looks like an interesting intersection of technologists, advertisers, and media companies. I will be speaking Wednesday on the OnMedia Venture Capital and Seed Financing Workshop - 10 am at the Lotus Suite.

Venture Capital and Angel Financing Workshop
Moderator: Sam Angus, Partner, Fenwick & West
Will Price, Managing Director, Hummer Winblad Venture Partners
Dan Beldy, Managing Director, Steamboat Ventures
Jed Simmons , Chief Operating Officer, co-founder, Next New Networks
Mark Stevens, Partner, Fenwick & West


While in NYC and at the conference, I would love to meet with any founders looking for their A round. Please ping me at wprice at humwin.com to set up a time to meet.

Thursday, January 24, 2008

HWVP Portfolio Job Site

Hummer Winblad just added a portfolio company jobs section to our web site.

The site currently lists 161 jobs. If you are looking to join a great start-up, please peruse at your leisure:)

Wednesday, January 23, 2008

Downturn - Now What?

My first year in venture was 2002. The great bull run of the 1990s was over, the dot com movement had come to a crashing halt, and Silicon Valley settled into a year of retrenchment and reckoning.

I remember long and painful board meetings where companies decided on reductions in force, recapitalizations and investor wash outs, and the slow, painful realization that the company's infrastructure, employee base, and positioning had gotten way too far in front of economic realities.

Friends who had accepted start-up offers thinking that they would go to HP or Oracle if things did not work out suddenly found their start-ups shutting down and HP and Oracle closed to new hires. Valuations seemed absurd in retrospect, companies with no sales were sitting on $50m-100m post-money valuations, $30m of paid-in-capital, and absolutely no chance of raising money; save a complete restart. A collective "what were we thinking" rolled through the valley.

The venture industry, like the tech industry at large, slowed down to not only digest "problem" portfolio companies, but also out of fear that large enterprises were no longer buying start-up products. The industry put $100bn to work in 2001 and only ~$20bn in 2002. It is fair to say that it was a bloodbath and billions of dollars were written-off and hundreds of companies quietly shut down. Venture investors largely sat on their hands and net new deals were very few and very far between.

As we all read the economic news this month, key questions are begged....how should an economic downturn impact venture investors behavior?, are there lessons one can learn from the dot com bust that can be applied in the current housing and credit bust?, will a recession hurt our companies, perhaps fatally?

If I take the last downturn as my guide, I can say with confidence that venture investors would be well suited to continue to invest right through the downturn - in 2002 and 2003 terrific companies were formed and funded at very reasonable valuations and with business models that reflected the demand for capital efficiency and economic viability.

Like Occam's Razor, recessions whittle away unnecessary and non-value-added businesses and the capital, purchase order, and resource scarcity inherent in downturns forges companies of real substance and durability.

I do believe, however, that certain classes of company will find fund raising very challenging in this environment. The last few years saw the rise and success of "field of dreams" web companies - ie companies where the business model and economics were secondary to utility, usage, and adoption. Perhaps most famously, Twitter is exploding with the principals publicly downplaying the need to define a business model. As consumers, the innovation possible via a "field of dreams" approach is wonderful, as investors, however, the market's patience to "uncover" the economic model over time and to, in the meantime, fund continued expansion and adoption is a major risk factor.

The last downturn saw the valley swing violently away from consumers to the enterprise - bastions of value, hard ROI, tangible value propositions, enterprise pain points and budgets, etc became the mainstay of investment decisions and the consumer, I kid you not, was literally a bad word.

Partner meetings where an investor said, "I have a great deal - it is a consumer play with great adoption metrics and a plan to work out the business model over the next 18 months," were a recipe for total and outright ridicule.

The valley became all enterprise, all the time.

Now, today's companies can leverage low-cost infrastructure and an ad-market in a way that their predecessors never could. However, I believe the following will occur: new deal investing will slow, perhaps radically, the enterprise segment will regain some of its former glory, consumer companies looking for capital in the absence of working business models will find raising money next to impossible, and employees will be much more scrutinizing of the companies they elect to join.

However, history suggests that capital efficient companies solving well-characterized pain points will continue to be great investments. Valuations, input costs (labor, rent, services) will fall, and future returns will show that 2008 and 2009 were great years to do start-ups. Similarly, in early 2009, as the consumer start-up market finds itself cut off from funding, it will be pay to make bold and brave investments in the consumer space.

None of us can predict the markets or future valuations, we all, however, can understand fundamentals. Businesses that solve real pain points with disruptive technology, a huge value/price advantage, and a scalable business model will work - the kiss of death, however, will be getting the capital structure ahead of those very same fundamentals. Failure is often a function of too much capital and too high prices suddenly running into economic expectations that are materially reduced with respect to market size, market growth, and trading multiples.

To survive, one may indeed need capital. The trick is to stay lean and not to overfund and overvalue companies where the investment only "works" if it eventually trades at 8x revenue and never needs another round of funding.

It way well be that Slide raising $55m from mutual fund companies at $500m+ pre-money will be the "what were we thinking" moment of the current cycle. I think, however, the investor who leads a $4 on $4m Series A in a company with a differentiated technology and a direct tie to hard ROI will feel calm in the storm.

The Wadget Revolution - How Brands Can Harness Widgets

Tomorrow night (1/24) I will be moderating a panel titled "The Wadget Revolution" sponsored by the Bay Area Interactive Group.

The title, a play on widget and gadget, will address the widget revolution and how marketers can best take advantage of this emerging channel.

I expect a lively discussion on how brands can use widgets to reach consumers and how publishers can use widgets to monetize their content.

Please find details on the panel below.

The Wadget Revolution:

The event is at the St. Francis Hotel on Powell Street just off Union Square in downtown San Francisco. The Stockton Sutter parking garage is close by.

Abstract:
The digital channels are engaging. It's that simple. Engagement remains elusive as a singular dynamic, but seems more a catch-all descriptor/metric for a variety of mechanisms that deliver utility, information and entertainment to audiences in new ways. One of the "channels" within the broader digital mix that saw tremendous growth in '07 and really begins its sophomore year in 2008 is the "Wadget" (ok, we couldn't decide between Widget and Gadget, so we compromised). They seemed to come out of nowhere, or to be coming suddenly from everywhere and we all nodded our heads in approval (though many of us grabbed a friend and remarked "what the heck are these things anyway?". It's time to shed some light on this.

What are Wadgets, what do they do, who makes them, who uses them and most importantly, how do marketers harness the power of them are the questions we're going after at our next event on Jan 24.

We'll have some masters of Wadgetry talking about the phenomenon from their perspective and showing all of us how they concept, build, deploy, engage and SELL their Wadget genius…and then they'll take your questions, so come prepared.

The panelists are:
· Will Price – Hummer Winblad

· Donna Stokes – HP

· Heidi Henson – Rock You

· Ken Barbieri – Washington Post Newseek Interactive

· Kevin Barenblatt – Context Optional

Monday, January 21, 2008

Martin Plaehn's Quick Hits: Do's and Don'ts of Entrepreneurship

I spent last Thursday and Friday in Utah attending the University Venture Fund's Annual Conference.

The conference brought undergraduate and graduate students from around the country interested in entrepreneurship and venture capital to SLC for a two-day event. The speakers included Bill Price (co-founder of TPG), Brad Feld, and other noted investors and entrepreneurs.

A side benefit - the Sundance Film Festival started the night we arrived and Brad and I got a chance to the see the world premier of In Bruges.

One of the panelists was Martin Plaehn, a former HWVP company CEO and current CEO of Utah-based Bungee Labs. Martin is a very sharp guy and he passed around his list of start-up do's and dont's. I thought they were terrific and include them below.

Martin Plaehn’s Quick Hits: Do’s and Don’ts of Entrepreneurship

Do’s

1. Do ensure for yourself (as founder or chief) that you are addressing a real market and a sustainable one; where the exchange of value is transacted and measured in US currency
2. Do only hire for pre-identified expertise, operating need, and the energy to accomplish excellence; if you get more, great; don’t hire otherwise
3. Do always know your cash level, weekly cash spend and receipt rates, cash-runs-out date, and close-up liabilities amounts; start finding funding choices when you hit t-minus 6 months till operating cash runs out
4. Do money deals with money people (e.g. Angels, VC’s, banks, and credit unions); do product deals with product people (eg. Commercial companies); and do risk deals with risk people (e.g. Insurance companies). Don’t get these confused. If a product company wants to invest in your company, can they afford to take the whole thing? If not, then not.
5. Do ensure that at least one of your early formal investors has the financial wherewithal to keep investing in subsequent increasing rounds many years down the road; do make sure your different investors are really compatible
6. Do always accumulate choice; two by definition, three of four is better; then make decisions and have a back-up
7. Do let the stress of overload and/or capacity strain the triggers for expansion; demand flexing the edges of the system is usually the truest sign of real growth
8. Do track revenue and cost per employee; have trigger thresholds for when to add staff or subtract. Human efficiency and innovation is what creates value

Don’ts

1. Don’t hire of goodness of heart or friendship
2. Don’t hire anyone who you and your team are not genuinely excited about
3. Don’t tolerated mediocre engineers; for that matter, mediocre anyone. An early sign of mediocrity is when you downgrade tasks and expectations to align with an employee
4. Don’t count on your investors to take care of you when things get rough and/or protracted
5. Don’t over interpret or count on the stated operating “value-add” from investors during their solicitations during fundraising
6. Don’t build out your staff or infrastructure in expectation of rapid growth; be strong enough and tolerant of market back-pressure or order/service backlog
7. Don’t keep the same sales and marketing execs if the business isn’t growing or changing for growth; no sales and marketing VP was ever fired prematurely
8. Don’t over delegate to consultants, accountants, or lawyers; even the great ones are only as good as you are as an engaged client; read and understand everything; if left alone, you must have a point of view, right or wrong


Thanks to the students at BYU, Univ of Utah, and from around the country who worked hard to make the event a real success.

Tuesday, January 15, 2008

Subprime failure and Prediction markets

What do the subprime meltdown and Iraq have in common?

Massive failure due to forecast errors.

I have written in prior posts about my respect for Nassim Taleb's book Black Swan, which speaks to the enduring inability of humans to recognize the fallibility of forecasts and linear thinking.

With respect to the subprime mess, Merrill Lynch, Morgan Stanley, and Citibank, alone, have announced $36+bn in write-downs to date. The most technically advanced companies in the country failed to live up to their raison d'etre: to price and manage risk.

Their failure is a powerful reminder that sophisticated business processes, risk management models, and management teams are no panacea if the assumptions that architect their systems are wrong.

For example, risk management is based on the premise that events in financial markets exhibit normal/Gaussian distributions. Value-at-risk models calculate the maximum loss not exceeded with a given probability/confidence interval over a given period of time. For example, the risk manager will report that with a 95% confidence the maximum capital at risk is $x. The losses in the financial sector are a powerful reminder of how rare events blow up the models and with them the business processes, risk controls, and balance sheets of their creators.

In supply chains, forecast errors compound across the supply chain in a phenomena known as the bullwhip effect resulting in excess inventory and a costly failure to match supply with demand.

Examples of forecast errors are legion - product ship dates, sales forecasts, demand forecasts, value-at-risk models, elections, stock price predictions, etc. A common remedy to forecast errors is to increase the liquidity of guesses - the greater the number of independent predictions the more accurate, in aggregate, the final prediction.

We can see this phenomena in today's social web - the web is rewriting the rule book on how we program content- rather than a top-down, command economy approach, where programmers decide what we should read, watch, and discuss - users are leverage social media sites to "reprogram" content. Communities, like liquid markets, vote with their time, comments, and clicks and the best of the web gets pushed to the top. Innovative companies are leveraging the wisdom of the community to ensure a better match between supply and demand.

So, where am I going with this post? Prediction markets are nascent business tools that allow employees to buy or sell certain business events - probability of product shipping on time, unit volumes to ship in the quarter, annual bookings, prioritizing new business ideas - and thereby allow their employers to improve the quality of information factored into predictions. The formal chain of command is infamous for distorting and hiding information - it is no wonder that CEOs are flying blind...their business systems are based on flawed models and their teams are incapable of accurately reporting the true state of affairs. Chinese whispers corrupts information moving up the chain and smart people are stuck making decisions with bad, misleading data.

We will never be able to predict the future, however, all of us should consider how we can open up our decision making processes to allow for non-biased, comprehensive input that allows the wisdom of our organizations to weigh in on key decisions - better inputs enable better capital and resource allocation decisions and can help avoid disaster.

While prediction markets are much less complex than advanced prediction algorithms, in the spirit of less is more, the front line sales people, developers, mortgage loan officers, etc will always have better information than the central corporate staff. What seems to be failing corporate America is an open framework for capturing that knowledge in a non-biased, confidential manner.

For centuries soldiers have complained that the central staff had no idea what was happening on the ground - the science, tools, and applications, however, exist today that allows for the harvesting of the collective wisdom of the group.

I predict, yes am I aware of the irony, that in 2008 corporate American will come to adopt one of the mainstays of web 2.0 - ie applications that leverage the tacit or explicit wisdom of a community. Prediction markets are needed to help unlock the tacit knowledge of organizations and to lessen the colossal forecast errors now reverberating through our economy.

Content Community on Innovation, Start-ups, and Venture Capital

I write to invite readers of this blog to join the Innovation, Startups, and Venture Capital content community powered by Corank.

The site is dedicated to sharing ideas, books, best practices, news, etc on entrepreneurship, venture capital, and new company formation.

To join Corank, click here. To add the RSS feed, click here. To add a Firefox bookmarklet to post articles to the community, click here.

I hope that this site fosters the sharing of ideas that will help all of us. Please do join and share content that matters to you.

A widget of the current top content stories follows:


Thursday, January 03, 2008

New Deal Checklist

Pilots, no matter how many flying hours they have, never take off without checking their pre-flight checklist. The risks of oversight, missing a mechanical or procedural failure, etc are too severe not to ensure all systems are go.

I put together an analog to the pre-flight checklist - a new deal checklist - that I hope will similarly help avoid losses due to "pilot error."

In the spirit of transparency, please see my list below and let me know if you think I am missing any core issues.
  1. Can I understand the business?
    1. what is the product?
    2. what is the value?
    3. who is the buyer and why would they buy?
    4. can the buyer quantify the value? If so, what unit?
  2. Is the market attractive?
    1. Growth rates?
    2. Profitability?
  3. Is there a fundamental disruption that is the basis for the opportunity and limits the incubments' competitive repsonse?
    1. Market --> SaaS, Open Source
    2. Product --> core innovation
  4. Is the product delivered in a buyer appropriate way?
    1. open source for infrastructure
    2. SaaS for a business app buyer
    3. REST/SOAP/JavaScript for a web service
  5. Is the core value tied to a technical innovation?
    1. ex. HWVP's portfolio company examples = Baynote's collective intelligence algorithms and Move Networks' streaming protocols
  6. Are their frictions in....?
    1. time and resources required to test the value proposition?
    2. time and resources required to deploy?
    3. time and risk to realize value?
  7. Is there a good market comparable for both the business model and the exit multiple?
  8. What unit scales the revenue model?
    1. page views, sales heads, downloads, sessions?
  9. Is the architecture scalable and does it leverage the best available infrastructure - EC2, S3, Rackspace, etc?
  10. Are there exogenous dependencies?
    1. carrier or MSO deals?
    2. RFID deployments, etc?
  11. Is there a market master?
    1. WMT or MSFT or Dell....
    2. Who is the incumbent? How will they react?
  12. Who are the other new companies in the space?
  13. Is the team able and honest?
    1. Prior track record of working together?
  14. Is the CEO special?
    1. What is his/her motivation, passion, strength?
    2. Where do they need help and complement?
  15. Are the round size and pre-money reasonable?
  16. Is the model reasonable (profit margins, growth, burn)?
  17. Is the plan capital efficient?
    1. how much money for 18 months?
    2. margin of safety?
    3. are their clear milestones in the plan that will allow for an objective assessment of value creation - ie a new investor
  18. Can this be a homerun?
  19. What are the core risks?
    1. why will the company fail? is their a plan in place to mitigate such risks?
  20. What are the KPIs - ie leading indicators to measure and track the company's progress?
  21. Is the cap table clean and the paid-in capital reasonable?
    1. Is the progress to date commensurate with the money in?
    2. Has the money in to date been productive?
While I am sure there are risk and questions not raised above, the goal is to systematically measure a prospect against a consistent analytical framework that, hopefully, ensures smooth take-offs, flights, and landings.

Sunday, December 09, 2007

How to Handle Tough Questions

I just finished a book that should be on the reading list of all entrepreneurs, In the Line of Fire, How to Answer Tough Questions When It Counts by Jerry Weissman.

Jerry is a well-known corporate presentations coach and is frequently brought in to help CEOs prepare for their IPO roadshow. The book builds on his first one, Presenting to Win, and is terrific.

Having given and sat through countless presentations, it is often not the subject matter of the presentation but the ability of the presenter to cogently respond to questions and concerns that wins the day. The book's aim is "not so much to show you how to respond with the right answers as it is to show you how to establish a positive perception with your audiences by giving them the confidence that you can manage adversity, stay the course, and stay in control."

There are three classic flawed responses to questions that will haunt the presenter: defensiveness, evasiveness, and contentiousness. The book provides examples of Trent Lott and Ross Perot that bring the damage of these reactions home. After team's present, it is often commented that the CEO seemed evasive, did not address the question, became combative, etc...all reactions that doom the pitch.

Here are some of his suggestions:

  1. actively listen to your questioner - do not rush to answer the question, instead make sure your body and mind are concentrating and listening to the question
  2. identify the key issue at the heart of the question - questions may drag on and ramble, it is your job to work out the key concept driving the questioner's concern - is it market size, competition, pricing model, technology, team dynamics, location....
  3. paraphrase the question to confirm that you understand the key issue being raised
  4. do not answer until you see visual affirmation that the key issue you paraphrased is in fact the questioner's issue
  5. answer all questions with care and confidence - there are no irrelevant questions
  6. anticipate and recognize the universal issues - management - do you have the right people? is your team complete, competition - how will you meet and beat the competition, market - how big is the market, business model - sales, delivery, and pricing model, contingencies, timing, problems, intellectual property....
  7. know your Point B - the audience starts the meeting at Point A, Point B is where you want them to get to - what is your goal
  8. speak to WIIFY - or what's in it for you - people need a reason to act and it must be their reason, not yours
  9. prepare and practice
  10. be agile and respond thoughtfully to questions
  11. never lose control - be slow to answer and slower to anger
Weissman mentored CSCO, YHOO, INTU, MSFT, and many others through their presentations and q&a preparation. The book needs to be on your shelf and the models skills in your arsenal.

Wednesday, December 05, 2007

Panel: Will the VC Market Decline in 2008

I am on an Under the Radar Panel tonight titled: Will VC Market Decline in 08?

This is also the time of year for "what will be hot or not" forecasts. In preparing for the panel, the following jumped out at me.

VC Market
The VC market is already showing signs of decline. How so? In 2006, venture funds raised $24.7bn from limited partners. In the first half of 2007, the fund raising number is $6.4bn, or $12.8bn annualized. $12.8bn represents a -48% decrease in capital invested in the asset class. Moreover, q106 saw LPs invest $8.5bn, while in q107 the number was $3.1bn, or a -63% decline.

What is going on here? See my post on Venture Capital and Emerging Managers for a more detailed answer, however, I believe that LPs are now wise to the Pareto distribution in industry returns, ie less than 20% of the firms drive 80% of the returns. If you cannot get allocation to the top firms, then get out of the asset class.

A few other stats to share: California is consistently taking 40+% of total VC dollars in the US, with the Bay Area taking 30+%. New England, a story of faded glory, now represents only 11%. Other, ie non-TX, CA, New England, NY, is 27%.

To paraphrase, while the world may be flat, it seems that there are two network effects taking place in the industry - 1) the top firms are taking more and more of the returns and, in turn, LP dollars, and 2) the Bay Area is enjoying a virtuous circle of innovation, wealth creation, talent acquisition, large company exits, repeat cycle that is seeing the region take a disproportionate amount of venture and exit dollars. The Bay Area appears ascendant and there are real ecosystem and systematic variables that suggest it will continue to be so.

Moreover, while total dollars into the industry may be falling, as capital leaves the combination of less money chasing deals plus strong fundamentals will result in not a decline in average returns but a rise. Yes, LPs are cutting back allocation, ironically, the top firms in the industry may be on the cusp of great results.

Am I bullish for 2008?
Yes. Why?
1) utility computing is real - cost per computing cycle and cost per gigabyte are no longer stuff of IBM and Sun marketing bs. Start-ups can now leverage the infrastructure assets and operating scale of AMZN, CRM, MSFT, and Google to grow their businesses where costs are now variable and not fixed. The cost of innovation, in essence, is plummeting with respect to non-differentiated infrastructure and there is no longer a need for expensive, bespoke infra build outs that suck dollars without adding customer utility.
2) performance based marketing is real - an economic downturn will accelerate marketing spend on high ROI and performance based ad units. In a consumer spending slowdown, brand advertising, whose value if hard to quantify, will get hammered and the reallocation of dollars from off line to online will accelerate - ie I think CPX Internet advertising will prove counter-cyclical because it is measurable and the spend can be tied directly to leads, orders, and revenue.
3) personal link analysis is real - while google monetized page rank, new companies are emerging to monetize person rank. Social networking will drive derivative investments of value - social networking analysis will become a mainstream marketing practice - ie rather than look at consumers as independent members of a market segment, marketers will now be able to analyze who you know, who matters to you and if they influence you, how well you know them, what groups you belong to, and word of mouth marketing campaigns that target "influencers" in given communities will outperform traditional direct marketing. I just looked at a company with powerful tools in this area - they are able to deconstruct a 3m member community into 17m discrete connections between members and over 300,000 discrete groups - by identifying the key "influencers" and "connecters" in each group, marketers will be better able to launch new products, drive product diffusion, and capitalize on the myriad of connections that now exits between us all, of which we seem to add 5-10 per day.

The lower costs of funding innovation, the speed by which products are diffused in a connected world, the virality possible in mining social networking and exploiting them, and the continued allocation of marketing dollars to performance based ad units should make 2008 one to remember despite the message of the video below - however, amusing it might be.

Friday, November 23, 2007

Confirmation Bias

My first blog post on May 12, 2005 reviewed Nassim Nicholas Taleb's wonderful book, Fooled by Randomness.

I am currently reading his second, The Black Swan, the Impact of the Highly Improbable.

The first book centers on the "hidden role of chance in life and in the markets." As an investor, it is particularly apropos as one tries to identify systematic methods of creating value via investing. Investors and investees like to believe that the investment world is deterministic with clearly understood cause and effect. Understanding causal drivers of value helps to create repeatable models for investment that scale both across time and individuals in the firm. Nassim challenges us to be very careful in over ascribing reason and logic to an outcome. Too often, investment outcomes are the result of randomness rather than science, ie being lucky rather than good.

The second book posits that we expect the world to operate within very narrow bands of probability and tend to discount the possibility of extreme events, or black swans. For example, Wall St uses Value At Risk models that analyze capital at risk with a 95% confidence interval - the models, based on Monte Carlo simulations, create a range of statistically probable outcomes. The savings and loan debacle, the current subprime mortgage mess, Long Term Capital, etc illustrate the fallacy of discounting the highly unlikely.

The book also introduces a key concept that with real application for venture capital - confirmation bias. He writes, "cognitive scientists have studied our natural tendency to look only for corroboration; they call this vulnerability to the corroboration error the confirmation bias." Due diligence is the process by which investors analyze and evaluate investment opportunities. Too often, however, diligence is confirmatory in nature. As Taleb notes, "...subjects supplied mostly questions for which a "yes" answer would support the hypothesis. Disconfirming instances are far more powerful in establishing truth. Yet we tend to not be aware of this property. A series of corroborative facts is not necessarily evidence. We can get closer to the truth by negative instances, not by verification."

In my experience, investors often look for corroboration at the cost of negative empiricism - ie at the cost of looking for non-confirming evidence. Such evidence in itself may not argue against the deal, it will, however, help avoid Pollyannish projections based more on hope than on truth.

Saturday, November 10, 2007

Panel on Investing in Innovation

Last night, I spoke on a SVOD panel discussing investing in innovation.

Invitations to speak always spark new ideas and new frameworks for trying to cogently boil down large and complex ideas into a few key ideas.

The topic of the panel and this post provided a framework for thinking about the issues.

For example, innovation is the science of new possibilities. Investing in innovation, however, centers on the science of consumption.

Innovation in a vacuum leads to failure and the commercialization of innovation is predicated on a ready ecosystem in place to enable the development, delivery, and sale of a product.

Consumption, in the broadest sense, demands the marriage of science with application.

A useful framework for tying technical innovation to consumption follows:

Commercial Success = Customer Need x Offering Innovation x Sales and Delivery Model x Ecosystem Development x Risk-adjusted Return

Customer Need = a clear view of the buyer's problem, identity, motivations, and resources

Offering Innovation = a material, rather than marginal improvement in the state of the art

Sales and Delivery Model = a distribution model that aligns product-market fit and, like Occam's razor, reduces any unnecessary frictions from the buying process

Ecosystem Development = no material exogenous market developments are required for the company to be successful. Rather, the ecosystem is ripe to support the innovation.

  • For example, wimax deployments, RFID reader deployment, etc.
  • Also, like Newton's "on the shoulder of giants," all start-ups require a foundation of enabling conditions to truly be successful. Understanding the cornerstones of the opportunity and how to leverage them is key to commercialization.
  • Also, innovation is largely symbiotic. Bill Joy's quote, "innovation happens elsewhere" is important to keep in mind as product design should benefit from the innovation of others rather than solely on the company's employees.

Risk-Adjusted Return = ROI alone is not sufficient to motivate customer behavior.
  • Like any investor, return must be analyzed with risk and customers, like investors, will seek to maximize their Sharpe Ratios, or return divided by standard deviation.
  • Many start-ups fail to realize the vendor, operational, and product risks they are asking customers to take on. Selling absolute return independent of the risk ignores a major component of customers' product selection. Be conscious of inadvertently creating risk and manage risk out of the sales and deployment model.
The panel agreed that a holistic approach to investing in innovation is required. The maturity of a team's plan depends on moving from the art of what is possible to the science of what is most efficiently consumable.

Friday, November 02, 2007

Top Dealmaker List

AlwaysOn, in partnership with KPMG, just released their inaugural Top Dealmakers List.

The lists include the top LPs, early stage firms, late stage firms, corporate vcs, law firms, investment banks, etc...

As Letterman knows, everyone loves a list. Worth a quick read.

Thursday, November 01, 2007

Venture Capital and Emerging Managers

I recently wrote a post, Portfolio Math, that examined the hit rate and return on invested capital required for the venture capital industry to be viable. The post led to excellent feedback from venture investors, entrepreneurs, and, interestingly, limited partners in various venture capital funds.

The existential question the comments begged appears to be, is it worth investing in the venture asset class?

The current LP position appears to be rather axiomatic:
  1. average venture asset class returns are a nonsensical number
  2. why? less than 20% of the firms drive greater than 80% of the returns
  3. it is borderline impossible to get into the top venture funds
  4. blind allocation to the asset class - ie if Sequoia says no give it to someone who will say yes, is now recognized as very flawed logic
The question then becomes what should LPs do. I see 3 possible choices
  1. leave the asset class
  2. be patient and wait for allocation to top tier funds
  3. sponsor emerging manger funds targeting young GPs at top tier funds
The first two choices imply that an LPs allocation to venture will be materially reduced on both an absolute and relative dollar basis. Less money will enter the system and, like most maturing industries (think ORCL in software), the excess rents in the market will be captured by a diminishing number of firms. The competitive position of the top firms will compound over time as competitors drop out of the market as LPs refuse to fund them.

The last choice is also interesting to consider. In the hedge fund industry, it has long been standard practice for LPs who cannot get into Citadel, SAC, and other top funds to lure away rising stars to start their own firms. If the axioms above continue to hold, I would not be surprised at all to see groups of sophisticated LPs lobbying younger GPs to start new funds in order to ensure allocation to talent who can drive returns in a now well-established Pareto distribution market.

Over the next few years, I expect to see more firms fail as LPs refuse to reup, the total dollar size of the industry shrink, and the birth of several new venture firms run by top-tier alums and backed by LPs committed to the asset class but denied entry by the door keepers at the top firms.

Post-script:
After posting the above, someone sent me the following news story:
California State Teachers' Retirement System may once again be reducing its target allocation to venture capital, this time in favor of debt-related investments such as distressed debt and mezzanine, according to the agenda for its Nov. 1 investment committee meeting.

The pension system is mulling changes to its investment policy that would reduce the target allocation to venture capital to 5% from 15% of its alternatives portfolio and raise the target allocation to distressed debt and mezzanine from 5% to 15%, according to the agenda. The proposal would also reduce the upper end of its venture capital target range from 25% to 15% and increase the upper end of the debt-related target range from 10% to 20%.

Wednesday, October 31, 2007

Rich Price

As some of you know, my brother Rich is a wonderful singer-song writer.

Embedded is one of his new songs, Change, and I love it.

Tuesday, October 23, 2007

DuPont Models and How to Determine KPIs?

Data driven management is a popular concept and with good reason. CEOs, management teams, and board of directors gain tremendous value in defining and managing to key performance indicators (KPIs).

Why?

KPIs provide insight into the underlying mechanics of the business model that help teams manage departmental functions and focus the company on the building blocks of future success. The concept of KPIs as powerful intra-period (day, week, month, quarter) barometers of company performance is well understood.

However, traditional mechanisms for financial management, GAAP financials and the operating plan, are necessary, but not sufficient tools for data driven management.

Start-ups are exercises in prospective thinking and both GAAP financials and the operating plan generally fail to provide insight into the upstream metrics that drive financial success.

GAAP financial statements are backward looking records of the past, and they often fail to provide insights into how the company will perform in the future. Start-ups all develop operating plans, however, in my experience 3 year plans, while necessary, are often highly abstracted summaries of a hoped for future that tend to be more academic than operational. They tend to be the product of the CFO's office with little day to day value for the team.

How then should one bridge the gap between GAAP financials and the high level financial projections? As a CEO, VP, director, or individual contributor what data points matter to you? When you come in in the morning, how do you know what to focus on with some sense of certainty that your particular KPI is a key part of the broader company's goals?

In 1919, DuPont's F. Donaldson Brown was tasked with turning around GM after DuPont bought a 23% stake. In order to help drive clarity and transparency into the state of GM's finances, Brown developed a model that broke down the company's ultimate goal, high return on assets, into an easy to visualize set of critical building blocks.

The standard DuPont model follows:
Return on Equity = Net Profit Margin * Total Asset Turnover * Equity Multiplier

Each component can then be broken down into its constituent parts.

For example,
NPM = Net Income/Net Sales
TAT = Net Sales/Total Assets
EM = Total Assets/Common Equity

One can now see that higher profitability, higher asset utilization, and higher debt levels can all lead to higher ROE. Further, each child node can be further analyzed to understand the key levers that drive the parent node.

Net Profit Margin can be influenced by unit volume, unit price, fixed costs, variable costs, and so on.

Now, how does this apply to start-ups?

Well, start-ups can develop a custom version of the DuPont model that 1) transparently states the formula for value creation and 2) makes visible key value-creating levers that are themselves the "Is" in KPIs.

For example, the search business can be defined by the following formula:
Revenue is no longer an abstract concept but a goal with clearly defined indicators that departments can execute against, such as driving more queries per user, maximizing ad attach rates per query, optimizing click through rates, driving higher ecpms....

A team's ability to develop a relevant DuPont model that maps out the key components of revenue and profit is critical in developing material KPIs. To bridge the gap between Quickbooks' financials and Excel operating plans, I suggest that a team whiteboard a model that drives both revenue and costs.

As a planning exercise:
  1. develop DuPont formulas relevant to the business that define the material components of revenue, costs, and profit
  2. drill down on each node until there is no marginal benefit of further granularity
  3. analyze the impact of moving each indicator, or formula argument, on the desired result and identify the most impactful indicators to manage
  4. assign each department indicators, arguments in the equation, they can control, effect, manage, and report against
  5. the formula's arguments are now the organizations KPIs
  6. With the KPIs extracted from the company's DuPont model, data driven management is now possible. The company, departments, and individual contributors now understand how their daily work contributes in the aggregate to the model's efficacy
Are you struggling with identifying material KPIs? Is the operating plan a set of forecasts with seemingly little relevance to day-to-day operations?

If so, take the time to develop a company specific DuPont model and agree as a team on the formula's key arguments; assign each team member a set of arguments to optimize, and come to the team meeting with weekly snapshots and trends of the arguments' execution.

In may ways, laying out a DuPont formula is a precondition to building an operating plan, ie it identifies the key business model drivers. Moreover, aligning strategy with a DuPont model allows for orchestrated execution where the component pieces, ie departmental specific activities, sum to a larger whole.

Monday, October 22, 2007

Aria Systems Raises Series A - Leave the Billing to Us!

The below is a guest post written by Lars Leckie of Hummer Winblad.

Last week, Hummer Winblad Venture Partners announced the Series A funding for Aria Systems, the leading on-demand billing and customer management provider.

HWVP’s investment in Aria is the firm’s fourteenth SaaS investment (others include Omniture, Adforce, Employease – some of which date back to 1998).

The investment in Aria is a double down on the SaaS market – Aria is not only itself a SaaS ISV, but also the company is a core component of any SaaS company trying to efficiently scale. RBC Capital Markets predicts that the SaaS market will grow at 43% CAGR to be $28bn by 2010. That’s a lot of billing.

As the SaaS market grows, the need for ISV’s to make bespoke investments in data center operations, billing infrastructure, and other core, but non-differentiated, functions is lessening by the day. Providers like Aria allow ISV’s to focus 100% of their human and financial capital on differentiated application logic, while using best-of-breed platform vendors for infrastructure services. The company puts it best when it tells customers it will help them, "get customers, get paid, get control."

Why invest in Aria? Simply put, traditional billing solutions, independent of expensive on-premise software, are not well suited to subscription and usage based billing models. New revenue models bring about the need for new billing architectures. Emerging SaaS companies who don’t use Aria can either choose to build a billing system themselves, thereby diverting engineering resources to a non-core engineering function, or they can use existing on-premise solutions with a myriad of spreadsheets and manual accounting. Aria is a solution that can scale and provide the best infrastructure through a strong focus on the billing market.

The Aria solution is a complete turnkey SaaS (single instance, multi-tenant) solution to manage recurring revenue billing. They manage the quote-to-cash system for a company including hosted customer sign-up, customer service, provisioning of service, dunning and all the other components needed for a full billing solution.

Aria is already in the market with strong customer traction and key partnerships in place. The vertical markets that Aria addresses today are SaaS, On-line Gaming and Telco. A few of their partners in these markets are Opsource and GNi but you can see the full list of over 25 partners here.

Congratulations to Ed Sullivan and the rest of the Aria team - Welcome to the Hummer Winblad family.

Friday, October 12, 2007

Burn the Boats

As a venture capitalist, I am fortunate to meet with people brimming with ideas for new products and new companies. You can feel the excitement build as ideas percolate and mature from insights quickly scribbled down in the middle of the night, to application mock ups, late night Starbucks brainstorming sessions, and early team solicitation.

Often, however, the ideas never bear fruit and the excitement subsides and the spark of creativity dies. This week, I met with several good friends who suffer from both the blessing and the curse of a surfeit of choices and options. The blessing is that talented people are always in demand and there are many avenues of opportunity available to them. The curse is that they often sit stalled at the cross-roads of choice - start-up, large company, start my own gig....

Mark Gainey, the founder of Kana, once told me that the hardest step on the road to entrepreneurship is the first one. Once committed, the iterations come fast and furious and the pressure to make it work allows for moments of genius and insight simply not possible before diving in head first.

I continue to regret that so many brilliant people that I know, full of energy and ability, sacrifice their passions on the alter of safety or indecision.

The conquistador Cortes provided a model for all intrepid souls....that is to burn the boats on the shore and ensure no way back and the stark need to make the expedition succeed or go down trying.

In facing choice in a sea of opportunity, I think that Frost's road less taken is inherent in the spirit of the Valley. However, it often requires a moment a bit like sky-diving....i.e. to willingly jump out of a perfectly good plane and make the most of the free fall.

Like Cortes, it is often necessary to burn the safety boats in order to finally realize the promise of late night ideas and the passion that gets you jumping out of bed in the morning.

Investment Models as Risk Acceptance Criteria

In many ways, investing is an exercise in decision making. In order to ensure consistent decisions, firms develop investment models with which to evaluate opportunities.

The models (both qualitative and quantitative) provide a framework for evaluating risk and return. The model defines the strike zone and helps shift investment decisions away from debating the merits of a class of investing, ie. do we want to deals like this, to the merits of a specific investment. The class of investment, what type of deals do we do, is defined by the model, the object, ie discrete investment decision, is the output of the model in action.

Another way to think of a model is as an articulation of the risks the firm is willing to take. For example, Hummer Winblad's model is to invest in Series A, enterprise software start-ups, and to back capital efficient plans at reasonable post-money valuations. Explicitly in the model is a checklist defining our focus, and inherently in the model is a level of risk acceptance, i.e. we are wiling to accept certain risks subject to appropriate pricing, capital investment, and overlap with our expertise.

If a firm's risk asset acceptance terms are well defined, ie what a strike looks like, then the firm can focus on sourcing and executing to the model. Also, to the extent an investment is outside of the model, the exceptions (ie areas of misfit with model) can easily be identified and analyzed. The investor can say, "I recognize that this deal is off our curve in the following dimension, however, the exception and added risk is worth taking for the following reasons."

Defining acceptable risks and a target profile creates consistent decision making and increased productivity. It also helps quickly flag execptions and puts the onus on the deal champion to explain the logic in swinging out of the strike zone.

Models are tools for decision making, but they also provide a logical framework with which a team of individuals can use to maintain a common cadence and definition of risk. The moral is not to never to go off the model, but to always know when you are off the model and to ask if the potential return is worth taking the extra risk.

Wednesday, October 10, 2007

Capital Flows - The Implications of Yale's Asset Allocation

David Swensen, Yale University's Chief Investment Officer, is widely recognized as one of the world's great investors

For Fiscal 2007, Yale reported a return of 28%. Over the last decade Yale's return is 17.8% and assets have grown from $5.8bn to $22.5bn.

For 2008, Yale plans the following asset allocation:
  • real assets (oil, timber, real estate) 28%
  • absolute returns (hedge funds) 23%
  • domestic equity 11%
  • fixed income 4%
  • foreign equity 15%
  • private equity 19%
Read the numbers one more time - domestic equity is only 11% and alternative assets (real, absolute, and private) make up 70% of the portfolio.

Today's NY Times noted that pension fund managers plan to increase asset allocation to alternative investments from 14.4% to 19.4%, a 35% increase, over the next three years. The article cited a survey of 50 of the world's largest pension fund managers and found:

Current Allocation to Alternative Assets: 14.4%
  • 4.5% to real estate, 4.3% to hedge funds, 4% to private equity, 1.6% to other
Planned 3-Year Allocation to Alternative Assets: 19.4%
  • 6% to real estate, 4.6% to hedge funds, 6.3% to private equity, and 2.5% to other.
The incremental 5% allocation is equivalent to $1.2tn dollars flowing into alternative assets over the next three years. This is a staggering sum.

What is more is that the pension fund managers' planned19.4% allocation is still only 27% of Swensen's allocation to alternative assets. Too match Yale's returns, pension fund managers would need to increase their allocation by 3.6x. If a 5% increase is equivalent to $1.2tn, a 50% increase, ie matching Yale's allocation, would represent another $12 trillion dollars of allocation.

Where will this money go?

To compound the capital flow dynamic, Morgan Stanley reports that sovereign funds (gov'ts of China, Russia, Kuwait, Singapore, etc) are sitting on $2.8 trillion and that the figure will grow to $15 trillion by 2015. $12 trillion here and $15 trillion there...now you are talking about real money:)

If the stewards of the world's capital look to Yale as a model there will be a massive flood of capital into non-traditional, alternative vehicles over the next decade. China's investment in Blackstone and Abu Dhabi's investment in Carlyle are harbingers of what is to come.

The chase for returns will continue unabated and Yale's approach suggests that relying on equity and fixed income markets will not suffice.

The recent sub-prime meltdown led many pundits to believe that institutional investors would shy away from private equity and hedge funds. The data above suggests that they will have no choice but to do much more investing with alternative managers, not much less.

Thursday, October 04, 2007

Prescriptions For Guaranteed Misery In Life

As some of you know, I really admire Charles Munger, Warren Buffet's partner. The clarity of his thinking, personal story, and professional success are worthy of study.

I recently read Poor Charlie's Almanac, The Wit and Wisdom of Charles T. Munger. The book is a fabulous collection of his thoughts, speeches, writings, mental models, and commentary on Charlie by Warren Buffet, Bill Gates, Bill Gross (Pimco), and others.

I particularly enjoyed the speech he gave at his son's high school reunion.

The speech borrowed from an earlier commencement address by Johnny Carson. Carson told the students that he could not tell the graduating class how to be happy, but he could them from personal experience how to guarantee misery! Carson's prescriptions for sure misery included:
  1. ingesting chemicals in an effort to alter mood or perception
  2. envy; and
  3. resentment
Munger goes on to add that if you desire misery that Johnny's suggestions were spot on. He adds four more certain ways to guarantee a miserable life to the mix...
  1. be unreliable
    1. do no faithfully do what you have engaged to do.
    2. if you like being distrusted and excluded from the best human contribution and company, this prescription is for you
  2. learn everything you possibly can from your own personal experience, minimizing what you can learn from the good and bad experience of others, living and dead
    1. the idea is to become as non-educated as you reasonably can
    2. do not stand on the shoulders of giants, who needs them
  3. go down and stay down when you get your first, second, and third severe reverse in the battle of life
    1. given the abundance of adversity in life...this will ensure that you will permanently mired in misery
  4. ignore disconforming evidence and remain certain in your views
    1. be one of those people who early achieve and later intensify a tendency to process new and disconforming information so that any original conclusion remains intact
Both Carson and Munger inverted the traditional graduation speech - they pursued the study of how to create X by turning the question backward and instead studying how to create non-X. Munger quotes the algebraist, Jacobi, who said, "invert, always invert." Many hard problems are best solved only when they are addressed backward.

Following all seven prescriptions will help ensure a life of non-felicity and abject misery. "Invert, always invert."

Thursday, September 20, 2007

Portfolio Math

There has been a great deal of discussion about the viability of the venture capital industry.


What types of returns are required to justify the asset class' risk? Are such returns available in today's market? How much risk does an early stage venture capitalist need to take to justify the premise of the business?

To find out, I constructed a simple model of a portfolio with the following characteristics:


  1. # of companies in portfolio
    1. 10

  2. $ per company ($m)
    1. $10

  3. management fee
    1. $0 (to keep this simple:))
  4. Probability of Success
    1. 40%

  5. Probability of Failure
    1. 60%

  6. Definition of Success
    1. 5x money

  7. Definition of Failure
    1. 0x money
The table below illustrates the probability of N successes, the value of the Nth success, and the expected value of the Nth success:









For example, in a portfolio of 10 companies:

  • the probability of 4 successful outcomes is 25%
  • or, 10!/4!6!*(.4)^4*(.6)^6
  • the value of 4 successes is $200m, or 4x5x10
  • the expected value (prob * value) of the fund, the sum of the total distribution of expected values, is also $200m

To 3x a fund, one would need:

  • $300m,
  • given a 40% success rate, and 7.5x your money/success
To 5x a fund, one would need:
  • $500m, or
  • given a 40% hit rate, 12.5x your money/success
To 8x a fund, one would need:
  • $800m, or
  • given a 40% hit rate, 20x your money/success
Now, if the hit rate falls to 20%, to 3x a fund, one would need:
  • $300m, and
  • 15x your money/success
If you hold 5x money/success, each 1% improvement in the hit rate is worth $5m.

If you hold the hit rate constant at 40%, each .5x money/success is worth $20m.

In summary, given that early stage venture capital often experiences binary outcomes, individual firms should look to ensure that deals support the possibility, if not the probability, of a 10x or better outcome.

Furthermore, LPs should diversify across multiple partnerships and look for firms that look to create large winners, not incremental winners. Conventional wisdom holds that 10x returns are required for Series A investors, however, the math exercise helps illustrate why that is the case.

Back to the original question...The early stage very capitalist appears to only be able to justify the risk involved in the asset class if they can either
  • materially increase the hit rate, ie reduce probability of failure per deal
  • create deals with 10x+ returns on invested capital

Are there 10x or greater deals in the market? Of course, however, great funds will need to find quite a few in order to justify their existence.

Hitting doubles or triples, in the face of a high mortality rate, will not cut it.

Note: thank you to Hunter Hancock for his valuable feedback and help on this post.




Tuesday, September 18, 2007

Six Filters for Business Evaluation

I am currently reading, Seeking Wisdom: From Darwin to Munger. The book seeks to provide guidelines for better thinking, explain what influences our thinking, and delves into the psychology of misjudgments. All topics of real interest to investors.

The book leans heavily on the writing and speeches of Warren Buffet and Charlie Munger. It reads like a reference book - with each chapter full of terrific nuggets of wisdom and quotes to remember.

The book includes a useful checklist for business evaluation. All investors, like pilots, need to have a checklist to ensure consistent best practices in decision making. At Hummer Winblad, we put together a checklist for every deal.

The book's checklist follows. While perhaps the book's list is not perfectly suited for early stage investing....like many frameworks, the real value lies not in the specific framework itself, but in the consistent application of a mental model that ensures diligent analysis and carefully weighed decision making.

Filter 1: Can I understand the business - predictability?
Reasons for demand - how certain am I that people are likely to buy this type of product or service? why will they buy? what are the benefits?
Return characteristics - Industry and company return characteristics and change over the last five years? Is there a business model comparable that has made real money for its investors and management team and proven the operating model's economic value?
Industry structure - (a la Michael Porter), no of competitors and size? Who dictates terms in this industry? Do I know who is going to make the money in this market and why?
Real customer - who decides what to buy and what are his decision criteria?

Filter 2: Does it look the business has some kind of sustainable competitive advantage?
Competitive advantage - can I explain why the customer is likely to buy from this company as opposed to others in the market? what is the basis of the advantage - market knowledge, execution strength, or technology?
Value - how strong is this advantage, does the advantage benefit from network effects or scale that will make it stronger and more durable over the years?
Profitability - can the advantage be translated into profitability and why?

Filter 3: Able and honest management?
Is the team competent and honest? Do they understand the market and are they focused on value creation for the owners of the business?

Filter 4: Is the price right?
Can I buy at a price that provides a good rate of return with an adequate margin of safety?

Filter 5: Disprove
How can the business get killed?
Who could kill it?
If it failed, what are the likely internal and external causes?

Filter 6: What are the consequences if I am wrong?

At Hummer Winblad, we add:
Filter 7 - what disruption will aid the company is driving growth?
What wave will the company ride that rewrites the operating dynamics of the industry and drives the reallocation of capital away from old models and technologies to new players in the market?

The book is a fun read and one to have on your desk.

Friday, September 14, 2007

Rich Price - Playing on Sept 25th in SF

My brother, Rich, is a wonderfully talented recording artist.

His new band, RGB, will be playing in SF on Sept 25th.

Below is a note from Rich and I hope some of you can make it!

Hi Bay Area friends, I hope all's well. I'm excited to announce I'll be bringing my new trio, RGB (Rich Price/Greg Naughton/Brian Chartrand) to San Francisco a week from this coming Tuesday.

I'm thrilled to be performing with two of my favorite songwriters, and the trio has been great fun. It's like Crosby, Stills and Nash had a one night stand with Paul Simon, The Police, David Gray, Martin Sexton and that short guy from Fantasy Island and somehow managed to produce a three-headed singing beast...that's RGB.

If you're free on Sept 25th, we'd love to see you! Thanks for all the support and for helping to spread the word!! All the best, Rich

RGB (feat. Rich Price)
Tues, Sept 25th at 8pm (sharp)
Red Devil Lounge
1695 Polk St (at Clay)
San Francisco, CA

link to purchase $10 ticket

RGB-Banner



p.s. I'll be performing in SF in late Oct with my old band. More details to follow.

Friday, September 07, 2007

What is a Brand?

I recently heard a very succinct and compelling answer to the question, "how do you define the concept of a brand?"

The answer, from the CEO of E&J Gallo Winery,...

"A brand is a promise to a customer of quality, image, and differentiation."


The definition elegantly boils down a complex concept to five key elements:
  1. a promise...a commitment from the company.
    1. Employees across the organization need to internalize that promise and live up to the commitment that is at the heart of the company/customer relationship
  2. a customer
    1. the company needs to understand the interests, demographic profile, characteristics, motivations of the customer. What makes them tick? Who are they?
    2. A clear picture of the target customer helps align the product, sales and marketing strategy, and positioning with the customer's interests and needs
  3. quality
    1. a value...be it an experience, physical good, or relationship
  4. an image
    1. a set of mental associations that complement the interests and self-image of the customer
  5. a differentiation
    1. a clearly unique proposition that is effectively communicated to and understood by the customer
I think all five elements are worthy of thought and reflection.
  • what is your brand's promise?
  • who is your brand's customer?
  • what is your brand's quality?
  • what is your brand's image, mental associations, characteristics?
  • what is your brand's differentiation?
Simple questions with surprisingly hard answers.

Friday, August 31, 2007

Chad Ruble, Reuters Vlogger, is Funny

Chad Ruble is funny.

(Full disclosure - Chad is one of my great friends)

Chad hosts a weekly internet video show, And Finally, on Reuters.com highlighting wild and wacky news stories from around the world.

On this week's episode, Chad visits a professional stunt school in NYC.

The show reminds me of Keith Olberman's Countdown segment "Let's Play Oddball" and it is well worth subscribing to via RSS.

Friday, August 24, 2007

The Psychology of SaaS and Web 2.0 Persuasion (and Selling)

One of the cool things about blogging is that it fosters the cross-pollination of ideas. Often, moreover, the derivative idea is much better then its source.

Bob Warfield's post, The Psychology of SaaS and Web 2.0 Persuasion (and Selling), is a great example.

He picked up on my post regarding Cialdini and the psychology of compliance and wrote a very thoughtful piece on how Cialdini's work can be applied to SaaS and Web companies.

It is well worth reading.

Beginner's Mind

"In the beginner's mind there are many possibilities, but in the expert's there are few."

-Shunryo Suzuki-Roshi

I am coming to believe that the comfort to say "I don't know" is fundamental to being a good investor. Intellectual curiosity, being open to new ideas, and the willingness to momentarily suspend disbelief in the face of unorthodox approaches are vital preconditions to being able to reward disruption.

Ideas, opinions, and expertise get in the way of knowing what we don't know. Given that venture is premised on funding innovation, refusal to admit ignorance, unwillingness to ask for clarification, to avoid learning can blind one to the clarity and creativity that exist in a beginner's mind. "Knowing" does not allow us anything new, no surprises, no insights, no discoveries.

When I worked for Art Samberg, a brilliant investor and founder of Pequot Capital, I was consistently impressed by his ability to listen and to learn. He would often ask people for their views; the chance to showcase knowledge to a billionaire investor would drive people into long monologues. When then asked what he thought, he would often say "I don't know enough about it to comment" and walk out of the room. The lesson: there is no shame in admitting you don't know, rather, the real shame lies in making your "intelligence" so much a part of your identity that you are afraid to ask or admit a lack of knowledge.

The concept of beginner's mind is not limited to Buddhism. Frank Herbert said, "The beginning of knowledge is the discovery of something we do not understand.” While Proust wrote, "The real voyage of discovery consists not in seeking new landscapes but in having new eyes.

Our learnings and experiences often help us process a complex world, however, I believe that it is important that we work to maintain beginner's mind over and over again in order to not let "knowledge" trap us from seeing innovation and possibilities.

Wednesday, August 22, 2007

Oracle buys Bridgestream

Oracle's acquisition spree continued this month with the purchase of Bridgestream, the leading provider of business role automation solutions.

Role-based access to systems and information is a well understood security paradigm. Importantly, Bridgestream extended the ability of identity access management (IDAM) solutions to map to the complex, ever-changing business relationships that exist within a department, within a division and across the extended enterprise.

Role based automation enables fast, accurate and real-time information about role-based authorizations and enables organizational changes to seamlessly flow through to production IDAM solutions. Modeling complex, ever-changing enterprises via the Bridgestream solution enhances security, improves compliance, and reduces IT costs. The acquisition complements the earlier purchase of Oblix and further pushes Oracle into the security market.

Hummer Winblad's Mitchell Kertzman co-led Bridgestream's A round and congratulations to Mark Tice, CEO, the Bridgestream team, and the Board on a great outcome.

Starmine Acquired by Reuters

Congratulations to Joe Gatto, CEO and founder, and the Starmine team on their sale to Reuters.

Hummer Winblad led Starmine's A round in 1999 with John Hummer serving on the Board.

Starmine is a powerful example of actionable analytics adding value on top of readily available data- the company's algorithms provide independent ratings of securities analysts around the globe by measuring their stock-picking performance and the accuracy of their earnings forecasts.

StarMine helps professional investors extract more value from broker research and fundamental equity data in less time by identifying the analysts that add value, forecasting potential earnings surprises and shortfalls, evaluating earnings quality, and alerting investors to the most important developments on stocks they follow.

Given the Wall St research shenanigans uncovered in the dot com bust and the recent failing of the credit rating agencies in the sub prime mess, it is more important than ever that effective analytics exist as a check and balance against either incompetence and/or malfeasance.

Congratulations to Reuters and Starmine on a great deal.

Monday, August 20, 2007

Influence - The Psychology of Persuasion

I recently read Robert Cialdini's wonderful book, Influence, The Psychology of Persuasion.

Cialdini is an experimental psychologist who studies the psychology of compliance, or why people say yes. In the book, he identifies six universal principles of influence, the psychology behind their effectiveness, and how we are eerily hardwired to succumb to their effect.

The six principles are:
  1. reciprocation
    1. securing compliance from people can be greatly increased by doing them a "favor," whether they ask for it, like it, etc or not...the simple act of a gift triggers an obligation to comply, within reason, to the gift giver's request
  2. commitment and consistency
    1. we have a nearly obsessive desire to be and to appear to be consistent with what we have already committed to. Once we have taken a stand and made a choice, we behave in ways that justify our earlier decision and commitment.
    2. The desire to be seen as consistent holds even when the cost, value, state of the original commitment evolves or changes
    3. Public verbal or written commitments drive intense desires to comply
  3. social proof
    1. we tend to determine what is correct, or not, by what other people think is correct
    2. this proof is most powerful with people of our own age and background
  4. liking
    1. we tend to say yes to people we like
    2. research shows we say yes to people who are good looking, feed us, who we are friends with, are famous, etc
    3. Tupperware uses friends to sell to other friends --the success rate is amazing as people simply cannot say no to people they are close to
    4. this is also why referrals from friends work - think about the difference in efficacy in trying to set up a sales call or pitch through a friend of the target rather than directly
  5. authority
    1. we feel a deep-seated sense of duty to authority figures
    2. see Milgram's reserach which measured the willingness of study participants to obey an authority figure who instructed them to perform acts that conflicted with their personal conscience
    3. titles, uniforms, clothes, offices reinforce authority and lead to almost universal compliance, even to requests that conflict with our values and conscience
  6. scarcity
    1. opportunities seem more valuable to us when their availability is limited
    2. people appear to be more motivated by the thought of losing something than by the thought of gaining something of equal value - stressing loss versus gain is instrumental in positive response rate and compliance
    3. deadlines, limited supplies, the cost of being left out
A core thesis of the book is that we rely on automated cues and heuristics to make decisions in a world too complex, busy, and fast to ever truly think through every decision.

Smart marketers and con men know that we leverage rules of decision making to streamline our choices and actions - by understanding the core principles of compliance and the psychology that drives automated responses we can vastly improve response rates.

While we all "know" these principles exist and none are radically new, the level of his analysis in understanding why they work is powerful indeed. It is definitely worth reading - both to apply in life and to use in order to defend yourself from marketers and others who are masters in using them to get you to OBEY!

Sunday, August 05, 2007

Company Culture and Politics - Survival of the Savvy

Business school alums often come back to campus and tell students that Organizational behavior proved to be the most valuable course(s) they took. When I studied at Kellogg, I never understood why.

I often meet with people who ruefully state, "my company is too political;" "there is no transparency where I work, things happen, people come and go, and no one knows why;" "I don't understand how decisions get made, things seem so random."

Politics, as we all know, is not something that just happens in Washington DC. All companies, be they start-ups or GM, are political. Politics are informal, unofficial, and sometimes behind-the-scenes efforts to sell ideas, influence an organization, increase power, and achieve other targeted objectives.

Politics have a truly pejorative connotation and being accused of being a political animal is most often meant to be an insult. Since I left business school in 1999, however, I have come to appreciate the fact that to ignore the realities of organizational life and decision making is certain to reduce your effectiveness and influence at work. I believe people often join start-ups to escape the crushing politics of large companies. The reality is that organizational politics are a constant, while start-ups may be lower on the political spectrum/continuum than larger companies, they remain organizations populated by people.

I recently read a book that provided a model with respect to understanding the organizational political continuum. The book, Survival of the Savvy, argues there are two contrasting styles and hence models of people and companies.

The first model is idea-centric. Idea-centric people and companies are driven by the power of an idea. They view power as residing in facts, logic, analysis, and innovation. These companies are often flat, meritocracies where the best ideas win and the way to win is to make the most cogent, objectively correct arguments. These people believe in substance, in doing the right (logically speaking) thing, open agendas and transparency, and the belief that ideas speak for themselves. Ie, if the ideas are well stated, why wouldn't someone agree? I fall into this camp and often believe that if I make a logically consistent argument (ie axiomatic) then it should be clear what to do.

The second model is person-centric. Person-centric people and companies are driven by the power of hierarchy. The merit of an idea is not driven by the cogency of the logic but by the power, position, and political support for the speaker. In this world, ideas definitely do not speak for themselves, but rather image and the perception of support (who supports this, what does the VP/CEO, etc think about it).

In these companies, people often don't do what's right but rather what works. Decisions, given they are not based on logic, are far from transparent and meetings are fait accomplis rather than opportunities for genuine discussion and feedback. Relationships drive support, not ideas and merit appears to lose out to coalitions and sponsorship. Loyalty, alliances, and working the system outweigh doing whats right and trusting the system to pick the "best" outcome.

In my experience, companies land somewhere along a continuum of the two models. The challenge for all of us is to understand the type of company we work in and what style we will need to adopt to be successful, or rather to quit and leave. Often the most frustrated people are idea-centric people working in people-centric companies who simply don't realize it and cannot understand why their brilliant ideas find no support or traction.

We owe it to ourselves to be self-aware. I believe this is the message the alums were bringing to students - don't be naive, calibrate your company's culture and style, and recognize that merit alone, unfortunately, is often not enough to get things done. The key is to always maintain integrity, avoid ugly ethical compromises, while working within the political constraints of your employer.