Archive for the 'Strategy' Category

What makes Silicon Valley special? – Information is a Commodity

Last week one of our competitors began the process of shuttingsiteLogo What makes Silicon Valley special?   Information is a Commodity it’s doors: StartupLinkup. On the top of their home page you can now read the following:
StartupLinkup.com is winding down. It was a nice experiment, but I realize it’s not the best model for connecting startup founders.
I strongly recommend that you use StartupSQUARE. Tristan, Manuel, and Marcel are the great guys there, and will make sure you get the right connections. All the best, Adrian.
This could only happen in Silicon Valley, our competitor Adrian Fritsch, started referring business to us. What makes Silicon Valley special? Cooperation.

Opportunities Everywhere

Adrian is a great developer. I saw when the first seeds were planted in his head months ago based on the Google Doc spreadsheet for co-founders and I predicted that some speedy coder would have something up in a couple weeks. Yep…that was Adrian. So why would he abandon his idea?

Partly because he’s a great developer. He can build a website in a week or two. He doesn’t lack for new ideas or the skills to implement them and that’s a distinct advantage in this ecosystem. With opportunities everywhere, there’s no need to doggedly chase down one path if it’s not the right one for you. In this case, Adrian recognized the same customer problem we did and also recognized that his solution wasn’t quite working. Why keep pursuing it?

Instead of fighting it out for each customer, he turned to his competitors (startupSQUARE, techcofounder.com, kofounder.com, fairsoftware.net, etc.) and announced that he would redirect traffic to whichever one of us had a good solution that would actually solve the problem. (Fortunately, that turned out to be us thanks to some really great endorsements from our users!)

His rationale was pretty straightforward. A successful solution that helps entrepreneurs find co-founders helps Silicon Valley, it helps the economy, and ultimately Adrian benefits as a member of that ecosystem.

Adrian thought in terms of long term benefits for the group instead of the short term benefits for himself.

(note: Adrian’s next project sounds pretty cool. I’m interested to see how it develops.)

Grow the Pie

Mmmm....pieThat brings me to my next point: we all know each other. There are quite a few companies looking to provide opportunities for co-founders, advisers, and investors to find one another. We talk on the phone, we share information. Why? Wouldn’t it make more sense to horde data? Isn’t business like a poker game? The guy with the most information wins, right?

The pervading philosophy here is that cooperation builds businesses and competition chokes markets. Instead of having ten companies compete for the same slice of the pie, they’re more inclined to sit down together and figure out how to bake a bigger pie.

Chess vs. Poker

If you want to win in Silicon Valley, you have to play chess more than poker. For those that don’t play chess or poker, here’s the difference: Poker is a game of incomplete information. You don’t know what cards the other person has.

The only way to give yourself an advantage at poker (beyond being able to calculate simple probabilities) is to read the other person’s mind. Of course there’s a science to that and some people are great at picking up subtle micro-expressions and body language. However, that skill doesn’t help you in chess.

Chess is a game of complete information. Of course, you still don’t know what the other person is thinking, but all the pieces are out in the open and obvious. If you lose, it’s not because the other person pulled a fast one and somehow hid a piece, it’s because they had a better strategy and tactics. In Silicon Valley, information is a commodity.

Information is a commodity?

Yes. Well…no…information still valuable and in some cases rare, but data is a certainly a commodity and information is on it’s way.

You can have all the facts and figures in the world and without the ability to parse that data into useful information, it’s useless and worthless. Minor case in point, if need you need to know how to create an arrow using CSS instead of a graphic, just search the web. (I liked this post when I needed to know.) There are ten thousand blogs giving away more than just data. They are giving away information under the rightful assumption that their ability to generate that information (a “how to” guide) is more valuable than the raw data (meaningless lists of css syntax).

In this case, Jon Rohan is trying to increase his reputation as someone who can turn data into information by making it freely available to everyone. The only thing that now differentiates a front end developer on this particular task is their ability to successfully execute a Google search. However, Jon’s skill and willingness to share it set him apart.

Companies behave in this fashion as well, not only open sourcing their prized code, but they generate open APIs by the thousands which allow hundreds of thousands of developers to use their abilities to turn data into information and generate value. Companies like Facebook of course keep some data to themselves, but their APIs essentially commoditize vast swathes of data and enable any company out there to become a partner of Facebook simply by writing a couple lines of code.

In this system of complete information, developers in Silicon Valley wind up cooperating more than competing in order to differentiate themselves on the basis of abilities rather than information or data.

Chess rather than poker.

Thank you!

So I’d like to take this opportunity to say thank you to Adrian Fritsch again for his kind words and his contribution to our site. He realized what we should all realize, that contributing to the eco-system in the spirit of cooperation leads to greater long term benefits for everyone.

I hope that startupSQUARE can play it’s part in this, by taking those values to the broader entrepreneur community via our site and help every system build as vibrant a co-founder eco-system as Silicon Valley.

Cheers,
Tristan

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Hope is the Enemy – Startup Advice from a Monk

Thich Nhat HanhI was recently reading a book by a Vietnamese Buddhist monk (Yes…I really do read books by Vietnamese Buddhist monks. No, I’m not Buddhist.) when I came across this section that struck me:

When I think deeply about the nature of hope, I see something tragic. Since we cling to our hope in the future, we do not focus our energies and capabilities on the present moment. We use hope to believe something better will happen in the future…Hope becomes a kind of obstacle. – Thich Nhat Hanh

Granted, I’m pretty sure he wasn’t talking about starting a business and this is out of context. None-the-less, I think some “live in the moment” lessons can be applied to this thing we call the startup.

Abandon Hope All Ye Who Start Things Up

Despite the title (I like provocative titles. You should have seen what I was planning to call this post.), I’m not suggesting permanently abandoning all sense of hope and replacing it with a black béret, a cigarette, and a wistful look of ennui. Hope (and faith) in our entrepreneurial vision is what gets us started on our path to build a new company. It’s also what gets us through some of the rough patches.

But as entrepreneurs searching for a business model, hope can be our enemy. It can tell us “it might get better tomorrow” when our metrics are plummeting. It can tell us every month that next month will be the one where we turn the corner. Hope is always for something just beyond our present reach.

Your Business Exists in the Present

Your business exists in the present tense, not the future. Although we plan for hockey stick growth, startups have to act daily to incrementally pull ourselves up with our bootstraps. This requires a phenomenal amount of focus and dedication on getting things done day by day. Our startup might not last until the end of the week, let alone years and years. If we spend all of our time planning for the future, nothing will get done today.

Moreover, we have to look realistically at the data that is coming in and not shy away from it while thinking blissfully about a tomorrow that may never come. We need to talk to our customers every day and sift through all that qualitative and quantitative data to find out how to provide value to our customers. If we get too wrapped up in the future, we might not realize that reality is telling us to pivot.

If we spend too much time dreaming, we might not realize that our customers have a different dream.

Walk the Line

There is a very fine line between a business model pivot and giving up too soon. The one can feel like the other. It’s important for us to walk the fine line between planning for the future and paying mindful attention to the present.

A good pivot doesn’t mean giving up on your dreams and goals, it just means you are going to achieve them in a slightly different way. Perhaps you’ll solve the same problem, but with a different product. Perhaps you’ll solve a different problem, but for the same customer.

Perhaps, even in business, there is some wisdom in listening to Buddha and living in the present.

Cheers,
Tristan

P.S.: The book is “Peace is Every Step” by Thich Nhat Hanh.
P.P.S.: I’m still not Buddhist.

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The Taxonomy of the Lean Startup Pivot

(warning: this post may be highly theoretical / geeky)

Last week I was planning for the worst. Having gone through 51 iterations of my mockups and gathered as much as feedback as I could with our primitive alpha, I feel confident about our basic customer problem hypothesis. Still, I play a lot of chess and like to think at least five moves ahead in the five most likely futures. So I decided to make a list of my potential pivots.

(note: For those not familiar with the term, pivot is a lean startup vocab word that states in it’s simplest form: If your business model isn’t working, change something. More on this below.)

To do this, I started making a list of questions I could ask of my product/market to brainstorm other ideas. In the process, I wound up breaking up my list of pivots into categories based on the questions and posted the list to the lean startup google group. I was wondering, “is anyone else doing this? Is there was any established taxonomy for pivoting or any template? Are there other questions I should be asking?”

Here was my original list of questions and their associated pivots:

Product Pivots:
- Can we solve the problems of our target market with an partly or
entirely different product?

Use Case Pivots:
- Can we use the same tech for a different use case with the same
target market?

Market Pivots:
- Can we apply the same product / tech to a different market?

Narrowing stance:
- Can we narrow our focus to a smaller/niche market or use case?

Widening stance:
- Can our product embrace a wider market or use case?

I thought this list could be the start of a very rudimentary taxonomy of pivots. However, some of the responses I’ve received so far have tested my understanding of the basic pivot concept and made me realize I had tied the concept of pivot into “product / market fit.” As product / market fit is most basic hypothesis I need to confirm before knowing that I have a viable business, any business changes outside of product/market fit didn’t register as a pivot for me.

Expect the Unexpected

Others seem to have a different take on the term, including Brant Cooper who implied “Everything about your business is a potential pivot” and also Eric Ries who suggested the following types of pivots:

  • Customer need pivot: same customer segment, different need/problem
  • Customer segment pivot: same problem, different segment
  • Business architecture pivot: ie from enterprise to consumer
  • Zoom-in feature pivot: remove features to focus on just one key feature
  • Zoom-out feature pivot: add features to become more of a holistic solution
  • Technology pivot: solve same problem but with different technology stack
  • Channel pivot: same problem, same solution, different path to customers
  • Platform pivot: open up an application to third-parties to become a platform (or vice-versa)”

(emphasis mine)

You’ll note that Eric’s list and Brant’s response both imply or include changes which don’t necessarily apply to product/market fit. In Eric’s list, I’m looking mostly at “technology pivot” and “channel pivot” which have nothing to do with who you’re target with what product, but instead focuses on how to make the product.

There is a lot of overlap between Eric’s list and mine and some of his terms are a lot zingier. moz screenshot The Taxonomy of the Lean Startup Pivotmoz screenshot 1 The Taxonomy of the Lean Startup PivotBut for my current purpose of achieving product/market fit I need something combining both elements, so I merged them:

(Please note: I wouldn’t recommend taking my list over his, especially if you plan on speaking the same language as the rest of the lean startup gurus.)

Product Pivots:
- Can we solve the problems of our target market with an partly or entirely different product?

This one doesn’t seem to have a parallel in Eric’s list, which I found surprising. I’m keeping it in mine because I think it’s very relevant.

Use Case Pivots:
- Can we use the same tech for a different use case with the same target market?

This is “Customer Need” in Eric’s list.

Market Pivots:
- Can we apply the same product / tech to a different market?

I would group “Customer segment”, “Business architecture”, and “Platform pivot” under this. All of them refer to who you’re selling the product to. I would consider all of this under the broad category of Market although it’s very very useful to break it down further for brainstorming.

Zoom Pivots:
- Can we narrow our focus to a smaller/niche market or use case?
- Can our product embrace a wider market or use case?

This is a great term from Eric and is better than my “Narrowing / Widening Stance” term. The main difference is that Eric’s refers only to product features and I would also want to address the possibility of widening or narrowing the target market. (Although you could just as easily call those Market Pivots.)

Open Ended Answer

You may also note that in the list above I ditched Eric’s suggested categories of “channel” and “technology” pivot as they don’t help me with product / market fit, but rather refer to marketing and production techniques. That’s not to say they’re not valuable, just they’re not relevant to the problem I’m trying to focus on right now.

As such, I have no firm conclusion to this post. I started the taxonomy as a thought exercise and I’m continuing in that spirit. I realize I may be using the term pivot differently than the lean startup folk and I need to adapt my terminology. Speaking my own language is not particularly useful for communication purposes, although I do find it helpful to associate the term pivot with the product/market fit concept. Otherwise pivoting can be applied to everything and is synonymous with the word “change”.

That’s it for the geeky post. Next week I’ll try and share some of our user behavior maps.

Cheers,
Tristan

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Someone Please Write a Blog Post about Minimum Viable Strategy

Watching Dave McClure‘s presentation today, I started to think about how a lot of the lean startup and customer development folks talk about creating the Minimum Viable Product (MVP), Release Early / Release Often, Product / Market Fit, Pivoting, etc., etc., but there’s very little talk about choosing your market or your product strategically. (At least not that I’ve noticed, feel free to correct me.) I’d like to read that blog post.

A lot of the advice out there ultimately mitigates risks. Here is my horribly unfair summary:

  • Minimum Viable Product (MVP) – Spend less on creating your product, therefore you are risking less time and money on a bad product.
  • Release Early / Release Often – Learn in small increments, therefore you are risking less time and money on a bad product.
  • Product / Market Fit – Either change your product to fit the market or choose a different market for your product before you start spending money on marketing, therefore you are risking less time and money on a bad product.
  • Pivoting – If you have a bad product, change it to something else.

All of which is great advice which this summary does not do justice to. Still, I’d like to read about how to choose the product that needs iterating. Unfortunately, I can’t claim the knowledge to write that post in detail, but I think it should go something like this:

  • Before you start executing on plan A, think of plans B-D

Come to think of it, that’s a really short blog post… maybe it should just be a tweet. Here are some other options:

  • 90% of winning the battle is tactics, but winning the war takes strategy.
  • Stop. Think. Then act.
  • Just because you create a product in a weekend does not mean you should.

A lot of this is implied in Eric Ries‘ posts on pivoting. Pivoting is a great tactical maneuver that goes back centuries. Put simply, if no one likes your product, what is the smallest possible change that may enable a different use case / selling proposition? Much of the backing for this proposition comes from Eric’s philosophy which reduces the cost of developing a product so radically  that to change a product or start a new one is insignificant and essentially zero. Perhaps for web 2.0 entrepreneurs this will work well. However, I don’t feel this is sufficient, especially not for brick and mortar folks. I believe a lot more thought should be put into determining tactical and strategic options before you write a single line of code. That additional thought is certainly not going to impact development costs, and may radically improve your ability to pivot later.

Shortcuts for my Poor Poor Brain

I take much of this from chess. Being far beneath the master level and unable to think out 12 different scenarios 12 moves in advance, I have to take a lot of thinking shortcuts to have any chance of winning. My favorite cheat is, “If I pursue this option, will I have more or less options on the following move?”

Chess 300x300 Someone Please Write a Blog Post about Minimum Viable StrategyAt the risk of alienating everyone who hates chess, here’s a chess example. Which side has the better position? White and black have the same number of pieces so that’s not relevant. In this highly unrealistic example (neither side could win if this was a real game) white has the better position. Without even knowing the basics of how the pieces move, you can guess that white has the better position because it’s knight is in the center of the board and it has a lot more options in terms of where it can go next. In terms of possibilities, white’s knight has eight possible moves whereas black’s knight has only two.

Don’t like chess? Ok, here’s a more down to earth example. Would you rather go to a restaurant with 8 items on the menu or just 2? If you happen to know that the restaurant with 2 items is the French Laundry and the other one was a shady looking diner, then yes…you should choose the French Laundry. However, in the absence of additional information, you should probably pick the one with more options. You’re more likely to find at least one thing on the menu you like, especially if you’re a vegetarian.

This basic principle applies to pretty much everything including martial arts, warfare, and yes…product development. If the product you are building has no tactical or strategic development options after you create the Minimum Viable Product, then it is not the right product to build.

Minimum Viable Strategy

Manuel and I first got together with another colleague, Florian Leibert, to create an IT security product which we tentatively called LOK (Leibert, Offenberg, Kromer) which we all thought was a cool idea, but probably unwise to build. Without going too far into details, it was a replacement product for PKI which would allow a cheap, easy to use cryptography platform based on P2P trust networks. In non-geek talk, it was a thing that replaced an expensive thing with a cheap thing. Among many other problems with the concept, the biggest one was probably that if it didn’t work, there was no direction which we could pivot to.

Could we pivot the product to a different market? Unlikely, the product was meant for a very specific set of security conscious, technology literate enterprise customers. Could we pivot the feature set somehow? Perhaps, but it would essentially be like creating an entirely new product from scratch. Could the feature set be somehow reduced to be less risky? Not really, the product required a serious amount of infrastructure just to work in a basic use case. Was the product incredibly cool and do I still want to build it? Hell yes, but I’m not going to.

Manuel and I spent a lot of time shooting down well over a dozen ideas for one reason or another. But a lot of the times the reason turned out to be, “What if it doesn’t work? What are our options then? How many tries will we have to get it right?” Eventually, we settled on startupSQUARE.com because it has a number of interesting options that I won’t go into here. So I’m sticking with this one and I’m still asking, will someone please write about Minimum Viable Strategy?

Cheers,
Tristan

moz screenshot Someone Please Write a Blog Post about Minimum Viable Strategy

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