(Nick Noreña, a Lean Startup Coach at TriKro, works with teams and organizations to help them implement Lean techniques in their daily business. An entrepreneur at heart, his favorite thing to do is work with early stage startups. If he’s not in his office in San Francisco, you can probably find him on a long bike ride, or on Twitter and LinkedIn.)
This is Part 2 of a two part blog post on effectively using the data you gather from customer discovery interviews. Check out Part 1 if you haven't already.
After a round of customer discovery interviews, I often find myself inundated with data. To be honest, it's a bit intimidating. I've tried lots of different approaches to organizing that data, from writing up long and verbose reports, to just giving the rest of my team the raw data and telling them to make sense of it (take a wild guess as to how well that worked). What I found was that while I had accrued lots of data I was always left begging for actionable insights.
So how do we actually interpret all of that data we worked so hard to collect?