Continuous Discovery

Continuous Discovery Habits – Teresa Torres

Continuous Discovery Habits – Teresa Torres
Recommendation: 8/10. Date read: 8/3/21.

This should be a foundational book for product teams looking to introduce stronger discovery habits. Torres emphasizes the principle of outcomes over outputs as being at the heart of better discovery. She starts by walking through how to discover opportunities through visualization exercises, mapping, and continuous interviews. Then she digs into how to discover solutions through ideation and identifying hidden assumptions. It’s in this section that I think she presents her strongest idea and framework which is built around testing assumptions, not ideas. Along the way, Torres also presents anti-patterns that go against best discovery practices so you can identify which pitfalls to avoid.

See my notes below or Amazon for details and reviews.

My Notes:

Opportunity solution trees:
“Shifting from a project mindset to a continuous mindset is hard. We tend to take our six-month-long waterfall project, carve it up into a series of two weeks sprints, and call it ‘Agile.’ But this isn’t Agile. Nor is it continuous. A continuous mindset requires that we deliver value every sprint.” TT

Solving smaller opportunities eventually solves bigger opportunities. 

Instead of asking, “Should we solve this customer need?” Instead ask, “Which of these customer needs is most important for us to address right now?”

Assumptions:
Desirability: Does anyone want it?
Viability: Should we build it?
Feasibility: Can we build it?

Once you have all assumptions listed out, map them on a quadrant. X-axis goes from strong evidence on the left to weak evidence on the right. Y-axis goes from less important at the bottom to more important at the top. Any assumptions that land in the top right corner (weak evidence, more important) are leap of faith assumptions. This gives you an indicator of which assumptions should be tested first. 

Break a product or feature up into smaller opportunities. Each opportunity should then map to assumptions that you are testing. That way you’re learning with each opportunity you knock out. If you attempt to test the whole idea, rather than an individual assumption, there will be too much noise to determine what was actually effective or ineffective. 

“We aren’t testing one idea at a time. We are testing assumptions from a set of ideas.” TT