New Blog: Meat In The Sky

I've started blogging about startup life, with some thoughts and actionable startup advice for founders and early employees at http://blog.meatinthesky.com.  I'll be focusing on the stuff before product/market fit.  This is the period of the most experimentation and the lowest burn you can do - it's the most perilous part of the startup process, as you're walking a tightrope without a net.

As for the name, see the first post.

And you can follow @meatinthesky on Twitter to be notified of new posts.

Because You Hate Your Family, or, Stuff To Read Over The Holidays

Whisky


Let's face it - you love your family, but that's today, before you see them.  By Boxing Day, you're going to want to curl up in the fetal position as your uncle yammers on about the Cleveland Browns.  As long as you're hiding out in the basement, or drinking alone at the depressing corner bar, you might as well do something productive.  Here's a special "must read" list of books, blogs, and presentations while you stew about in the hellhole your parents call home.

Steve Blank - the granddaddy of them all.  Steve coined the term "customer development" as a parallel process to product development.  Steve's blog is fascinating (the man has done some very interesting stuff), but the must-read is his book, Four Steps to the Epiphany.  In particular, it specifically talks about how to work when you're disrupting an existing market versus when you're building a new market for your product.  You have to read Four Steps first.

Eric Ries - the new hotness.  Eric took Steve Blank's class, learned about customer development and had the insight to pair the customer development process with extreme programming to create a continuous improvement/feedback loop.  Eric coined this process "Lean Startup".  Eric's blog is great, but he has a MVP beta of his posts in an e-book, which may be easier to read.  You should buy it now, since Lulu might take a while to ship.

Dave McClure - the pirate.  Dave's AARRR model is the best compilation of every driver you need to measure.  You can't just slap on Google Analytics and think you're done, folks.  He's kind enough to post new versions of his Startup Metrics for Pirates presentation as he revises it (video of an older presentation), but Dave's blog (while a bit all over the place) is chock-full of great insights.

Sean Ellis - the Glengarry leads guy.  You've built it; now what?  Sean only works with companies that have raised venture money and already achieved product/market balance (see why I don't call it product/market fit).  You don't even have a product yet.  Why is he a must read?  Because his approach to measuring product/market balance is better than anyone else's.  His startup pyramid tells you each necessary step before you can turn on the growth spigot.  Sean's blog is updated less frequently, but every post is great.

Andrew Chen - the savant.  Andrew's spent a lot of time thinking about viral loops.  Virality isn't something that just happens to great products - although that does happen from time to time - virality is something that can be baked into your product's DNA.  Andrew's blog is full of posts that go into viral loops in detail, and it's much easier to read now that he made a special categorized list of posts for you.  You can't possibly read all of this before you come home, so I'll stop there.

Requirements Gathering Is Not Customer Development - But It Does Define The Problem Statement

Customer development is all about testing your hypotheses.  This is the Lean Startup diagram by Eric Ries that you (should have) seen before:

Lean_startup

Let's start at the beginning and focus on the Customer Development Process, and in particular, the Customer Discovery loop at the very beginning:

Customer-development

Steve Blank has defined the Customer Discovery loop as four parts: Author creates Hypotheses; Author Tests Problem Hypothosis; Author Tests Product Hypothesis; and Verify, Iterate, and Expand (slide 11):  

The problem that I've seen time and again is that people fall in love with the process and get so caught up in the notion that they can just iterate through their hypotheses that they create terrible hypotheses.

This is dumb.

People - especially smart people - love the idealized notion of "iteration" but, in practice, it turns into "throw shit against the wall and see what sticks".  Then they realize the hypothesis testing iteration process takes time and soon, they start to believe they're making progress merely because time has progressed.  Then they start product development too early.  Then they... well, you can guess what happens from there.  Don't do that.  Spend just a bit more time up front.  Understand the problem you're solving first, so you can make better product hypotheses from the get-go.

Simplify the Customer Discovery loop into two parts: requirements gathering to define the problem statement, and hypothesis creation that you test with actual potential customers in the Customer Validation step.  Here's the difference between me and Steve: you don't iterate on the problem hypothesis - the problem statement is a fact that you have to suss out from your requirements gathering.  Your job is to suss out 1) whether or not there is a problem, 2) how big of a problem it is, and 3) how big the market is that's affected by the problem.  (You don't want to develop a product to solve a problem that won't return your investment of time and money.  This is the result of jumping into the "test product hypotheses" too early.)  These are all verifiable facts; the problem statement is not a hypothesis.  Anyone else going out to the same customer base and asking the same questions will come up with the same problem statement that you do.  

Defining a problem statement really isn't all that hard.  Sure, you can read research reports and get market sizes and all that jazz, but the one prerequisite you must do is really quite simple: talk to enough potential customers until you've reached some point of diminishing returns.  (You'll know it when you get there.)  Often, this doesn't take more than a dozen.  If you really want to be rigorous and pretend you've gotten to statistical significance, talk to 30 people.  Here's a simple list of questions:

* How do you do [x]?
* What's the worst thing about doing [x]?
* How much extra time/money/energy does it take to deal with the worst thing about [x]?
* If I could solve the worst thing about [x], how much money would you pay me?  (Note that if it costs money to deal with the worst thing about [x], theoretically you could charge up to 99.9999% of that amount.  Theoretically.)

Everything else is optional.  My trick is to keep them talking with one simple phrase: "that's really interesting.  Tell me more."  You may even (read: you will) get product insights from your problem statement questions.  

Eventually, you should be able to hone in on what exactly is the jabbing pain in your customers' eyes.  For salespeople, it was that they had to input all their information into ACT and then do extra work when they got to the office to share it with their manager (Salesforce.com).  For runners, it was that the shoes they had weren't really comfortable for running long distances (Nike).  

The iteration comes only with the product hypotheses - and I use the plural because you want to consider all the different product approaches that can solve the problem.

Let me finish with this: you don't define the Minimum Viable Product.  The market does.  At the beginning, your job is to form good product hypotheses that you test.  These product hypotheses spring forth from spending the time in requirements gathering to sharply define the problem statement that you are going to solve with whatever your product solution ends up being.  

If you've done the work to define a robust and accurate problem statement as a result of a rigorous requirements gathering process, you'll receive much better market feedback when testing your product hypotheses.  Eventually, when you start market testing your alpha product, you'll have a much shorter process getting those orders/eyeballs/whatever to determine you've hit your MVP.  

Next time, I'll talk about when to follow and when to ignore your customers when defining and testing your product hypotheses.

Bring Back The Evening Paper!

Commodity national news is dead.  Newspapers are dying.  The AP wire on Yahoo News (or Google's more heterogenous and more cluttered version) and CNN.com are "good enough" that all other services providing "just the facts, ma'am" provide no incremental value.  Most observers recognize that this leaves a void in the local space, and predictably you see newspapers retrenching into their neighborhoods, fending off competitors like Outside.in, EveryBlock, and ESPN's local sites.

But newspapers have so much more than just news, and that's why I love to read them when I visit my family in St. Louis.  I find value from the comics, the circulars, the coupons, the crossword, and, yes, the columns.

But why do I only read the paper when I'm visiting my mom and grandparents?  Why, the NYT and Tribune executives plaintively scream, why oh why don't I subscribe where I live?  

My biggest issue is delivery.  At my former apartment in Chicago's Logan Square, I had no faith that any paper I paid for would still my at my apartment building's doorway when I woke up in the morning.  I even subscribed to the free Saturday Redeye and it never showed up.  My new apartment is one of those old houses in a better neighborhood near Somerville's Davis Square, and I'm considering getting the Sunday Globe and/or Times.  But only on Sundays.

But here's the other delivery problem beyond just getting what I paid for: when the paper comes in the morning, I don't have time to read it.  When it comes in the morning, half of it is stale the minute it hits the stoop because I read that information online the previous day and the other half is stale by the time I do have time in the evening.  It's completely useless to me (again, except on the weekends, where my mornings are leisurely and my evenings are packed).

But this can be solved with a change to the content and a switch in delivery time.  An evening paper that focused on analysis and columns, rather than the stenography that passes for reporting, would be fantastic.  I could indulge with 15-20 minutes attempting the crossword; I could read the comics over a cup of tea (or a glass of bourbon or whatever your racially- and temporally-appropriate stereotype is); and I could browse through columns and analysis of new and interesting topics that aren't top of mind during the workday.  

Giving up all pretense of presenting the bare facts of news would free an evening newspaper from the tyranny of the mid-day deadline.  An evening paper as I envision it wouldn't compete with the evening news hosted by Brian Williams, Katie Couric, or Diane Sawyer.  It wouldn't compete for the advertising dollars of incontinence products and life insurance.  It would be more alive and it would be a better vehicle for television, movie, and other entertainment advertising than the morning paper or the evening news.  

A new evening paper would require shunting aside any pretense of being balanced in favor of presenting a wide range of opinions (I think the Atlantic does the best job of this on the national blogging/magazine side), but it could easily be done given the newspaper companies' existing delivery infrastructures and brands.  

And that's the way it is.

One related note, since this is being passed around this morning: I don't in any way believe we are nearing the end of hand-crafted content.  Just read Ezra Klein, Matt Yglesias, Felix Salmon, Ta-Nehisi Coates, or any of the other brilliant writers who pump out fantastic free content with real, actual reporting on a near-daily basis, and you'll realize that at the national level, there's a plethora of great, handcrafted content.  (BTW, are there any female writers - aside from Digby - who I should be subscribing to?  Megan McArdle lost me a while ago.)

Maybe it's different if you're checking TechMeme every 15 minutes to see who gets "credit" for "breaking" some "story" about some "gadget", but the stuff that I read is great.  Hell, just follow Paul Kedrosky; it's like the dude was put on this earth to create and share interesting shit that's perfectly up my wheelhouse.

Forget Product/Market Fit; It's All About Product/Market Balance

In my time watching and working with startups as an investment banker, VC, entrepreneur, and consultant to startup teams, the notion of product/market fit has gone from a new insight to conventional wisdom. 

However, product/market fit never seemed like the right notion to me. 

After doing some thinking and working very closely with a handful of startup teams in the last year or so, I realized that a team isn't looking for product/market fit; it's looking for product/market balance.  The notion of balance highlights the delicate task of getting a product to meet a market's needs:

1-product-market-balance

Even if a team builds a robust, stable product offering, the product can fail to meet the market's needs and the product lands with a thud:

2-product-market-fall


The notion of balance serves another purpose; balance provides a basis to extend the metaphor into the other important parts of a product experience: positioning and pricing.  Here, you can see how the product supports positioning:

3-positioning-product-market-b

Likewise, the product + the positioning supports the price structure:

4-price-positioning-product-ma

If the product itself balances with the market's needs, poor positioning can upset the balance and lead to everything tumbling down:

5-positioning-product-market-f

And a poor price structure can lead to defeat even with the right product and positioning strategy:

6-price-positioning-product-ma

You can't decide to position a product as premium if the product is shoddy.  Likewise, the price you choose reinforces and strengthens your positioning - you can't have a "value" product that is priced higher than your competition.

Startup teams must make sure that everything about their product, positioning, and price structure maintains the delicate balance necessary for market success.