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Yesterday’s post on distribution partnerships for startups elicited a few comments and questions about other important elements startups should consider when contemplating partnerships. I’ve listed a few other major partnership elements below.

Qualifying the Partnership

Quality of inbound traffic - As part of measuring the cost/benefit of a partnership, it’s critical to understand quality of traffic/customers from a distribution partnership, as @jamesreinhart pointed out. Ideally, a startup should collect data on the performance of a distribution channel before entering into a long-term agreement with a partner. Conversion rates can vary widely by channel and lots of poor traffic isn’t worth the effort.

When a startup is approached by an established company about partnership, it can be a very exciting time.

Sometimes partnerships change the trajectory of a startup. Other times, the weight of partnerships can crush startups. Servicing a much larger partner’s needs with a small team can be a full time job and deprive the startup of any time to advance their independent projects.

When evaluating a partnership, the most important first-pass analysis to conduct is to understand whether in the success scenario, the partnership is worth the effort by comparing the startup’s progress to a conservative estimate of internal growth.

This morning NPR profiled an education researcher comparing and contrasting the way different cultures approach intelligence and learning in schools. Though the debate about education methodologies is fascinating, I found the one of the stories in the report reminded me of the importance of transparent cultures in startups.

In 1979, Jim Stigler, a researcher from UMich went to study education in Japan. Sitting in the back of a fourth grade math class, he watched as the teacher asked the class to draw cubes.

Yesterday, I watched as a friend of mine created an Expensify account for his startup. He was trying the product for the first time.

I took notes without saying much. The experience reminded me of the hours I spent in Google’s usability labs watching people use our AdSense Demographic Targeting beta product. In those sessions, I remember feeling a sense of excitement followed by frustration - even disillusionment. Often, the product confused users. And I had only one person to blame: myself.

In a triumph of statistics, Nate Silver predicted the outcome of every state in the Presidential election correctly. What makes this story so noteworthy isn’t that it proves data enables superior decision-making to human intuition. We know the math works.

Instead, Silver’s success highlights and challenges the prevailing culture, present in politics and in the workplace, that overvalues intuition and undervalues data.

Our analysis tools and our access to big data are forcing cultural change at the broadest scale. The latest field to face this upheaval is journalism. It won’t be the last.

Must content platforms be reinvented every few years?

Left to its own devices, the mob will augment, accessorize, spam, degrade and noisify whatever they have access to, until it loses beauty and function and becomes something else.
Seth Godin

Given the noise and misinformation disseminated on Twitter both during the election and the Sandy disaster, I’ve been wondering how Godin’s thoughts apply to new information networks: blogs and feeds.

Sifting the feed in search of the truth

There is an undeniable early movement toward editorially curated publishing. The Twitter founders have launched the most visible response. Medium, a low volume, high quality content site is a direct (and opposite) reaction to the high volume, noisy Twitter feed.

In the Capitalist’s Dilemma, Christensen divides innovations into three types: empowering innovations (the transistor, the engine, fiberoptics

This morning, I listened to an interview of Jon Gertner who has published a chronicle of Bell Labs called the Idea Factory. In his book and the interview, Gertner highlighted points about the Bell Labs that relate to Clay Christensen’s recent New York Times editorial, the Capitalist’s Dilemma.

Bell Labs was a house of magic - a place of prodigious invention and innovation. In a single year, Bell scientists and engineers developed the transistor, satellite communication and information theory (the theory that underpins all digital technologies). The advances pioneered by Bell have created 100 years of massive economic growth: the Internet, digital communication, semiconductors for the US.

In May 2010, I bet a good friend of mine that Android would overtake iOS in total devices shipments in 12 months' time. My prediction was completely off the mark. In May 2011, iOS led cumulative shipments by more than 100%: 191M to 95M. It would take another 10 months for Android to equal Apple in March 2011 at about 325M each.

Race to one billion devices

![image](https://res.cloudinary.com/dzawgnnlr/image/upload/q_auto/f_auto/w_auto/">

But Android reached this milestone in a way I didn’t anticipate. I expected a clean division between the high and low ends of the market along OS lines.

There’s a Pixar movie that captures the ethos of Silicon Valley’s entrepreneurship culture which it summarizes this way:

While not everyone can be a great chef, a great chef can come from anywhere

The magic of the valley is that there is no path, no formula, no stencil for how to be successful. There is no university one must attend, no incubator one must join, no technology one must master to be successful. Every entrepreneur has a different route to their successes.

Ariel Diaz wrote an insightful post in PandoDaily yesterday outlining the state of affairs in online education. Ariel touched on the history of education, catalogued the problems of the status quo and pointed to a few innovative initiatives.

Most Edu Innovation is Post-Secondary

Reading the post and reflecting on the startups I’ve seen, I concluded most of the innovation in education has occurred in post-secondary education instead of K-12, despite the fact that the K-12 market is about 50% larger in dollar terms than the post-secondary market.