Silicon Valley claims to be obsessed with data. (I blame Moneyball.) Take a look through any of the Silicon Valley rags or the tech section of the three newspapers still standing and you’ll see about three stories a day on data. How to get it. What to do with it. Who’s selling it to whom. Who needs it. How to protect yours. We’ve collected more data in the last ten years than we can process in the next hundred. No one can exactly remember why we’re collecting it, but everyone’s afraid to stop. Yet, with all this data at our disposal, we’ve created a garbage fire run by platforms of vitriol. Here’s some more data: we’re idiots.Mike Monteiro: Herd Immunity
A better approach in sharing user research findings with a partner is “findings, consensus, and recommendations.” Share your research findings, develop a shared understanding of those findings with your partner, and then develop recommendations that are informed by the partner’s priorities and constraints.
I wrote this blog post with Jess from People For Research, about how to design the best research experience:
There’s no one perfect way to do user research. Every method has its pros and cons. The key is to design the research process. Just like anything else you might design (a website, a gadget, or a garden) it’s about:
Defining the problem(s) you want to solve
Coming up with a solution that works within the constraints of time and budget
Read the rest at People For Research.
Taking bigger risks at the start of the product life cycle usually pays off. At the start, you’re unlikely to have much data on your users and their behaviour, so prototypes will have a set of assumptions about your users to test