1 tip & 3 resources per week to improve your Strategy, OKRs, and Discovery practices in less than 5 minutes. Explore my new book on realprogressbook.com
Why Your 'Correct' Discovery Method Might Be Wrong
Why Your 'Correct' Discovery Method Might Be WrongDear Reader, "Which experiment should we run next?" This question comes up in almost every Discovery coaching session I facilitate. Teams often focus on finding the methodologically perfect way to test their assumptions. But here's the thing: the most technically correct experiment isn't always the right one to run. When choosing methods for Product Discovery, we often focus on what fits our research question or assumption best. Say you want to understand how users perceive features in your product. A diary study might be the perfect method—capturing real usage patterns over time. But what if it takes three months to get reliable insights? A series of well-structured interviews or shadowing sessions might get you 80% of the way there in just two weeks. Several factors determine your lead time to insight:
Here's another way to think about it: An A/B test might seem quick to start—taking just hours or days to implement. But depending on your traffic and conversion rates, it could take weeks or months to reach statistical significance. In contrast, while recruiting participants for qualitative interviews might take two weeks, you could have reliable insights within days of completing them. Neither method is inherently better. What matters is the total time to reliable insight, not just how quickly you can get started. So, when picking your next Discovery priority, ask yourself:
Here's a practical tip: When evaluating lead time, avoid abstract scoring systems. Instead, estimate the actual duration by adding:
This concrete timeline helps you make practical trade-offs between methods. Remember: The goal isn't to achieve perfect certainty. It's to reduce uncertainty enough to make confident decisions about what to build next. Did you enjoy the newsletter? Please forward it. It only takes two clicks. Creating this one took two hours. Thank you for Practicing Product, Tim Good News!Some last tickets are available for my in-person Product Discovery workshop on March 10 in London (as part of Mind the Product conference).
As a Product Management Coach, I guide Product Teams to measure the real progress of their evidence-informed decisions. I focus on better practices to connect the dots of Product Strategy, Product OKRs, and Product Discovery. |
Product Practice Newsletter
1 tip & 3 resources per week to improve your Strategy, OKRs, and Discovery practices in less than 5 minutes. Explore my new book on realprogressbook.com
Product Practice #417 User Outcomes are Positively Flipped User Problems PUBLISHED Jul 17, 2026 READ ON HERBIG.CO Dear Reader, Last week, I mapped how OKRs connect to the layers of an Opportunity Solution Tree. But especially the Outcome layer deserves its own issue: turning a customer problem into a team-level Key Result. I first wrote about it in 2023, before I had a name for it. Since then, the positivity flip has become one of the most-used tools in my OKR and Discovery workshops, so...
Product Practice #416 How to Connect OKRs to OSTs PUBLISHED Jul 10, 2026 READ ON HERBIG.CO Dear Reader, OKRs (Objectives and Key Results) help you measure strategic progress. OSTs (Opportunity Solution Trees) are a visual structure for connecting solution and problem spaces to business goals. Let me break down how the layers of an OST connect to the practices of OKR drafting and execution: Layer 1: The Outcome Teresa differentiates between business outcomes, product outcomes, traction metrics...
Product Practice #415 Accelerated Context and the Validation Sparring Partner PUBLISHED Jul 3, 2026 READ ON HERBIG.CO Dear Reader, Most of the AI conversation in product management right now is either describing doomsday scenarios, exaggerated improvements, or warning about what might go wrong. But I am more interested in what changes for product teams doing real work. When a product team adopts an AI tool, what specifically changes about their day? What benefit do they keep coming back for,...