Why your Product Discovery Feels too Theoretical


Why your Product Discovery
Feels too Theoretical

READ ON

HERBIG.CO

PUBLISHED

Apr 25, 2025

READING TIME

4 min & 17 sec

​Dear Reader,​

Over the past two weeks, I've explored treating Product Strategy and OKRs like products to avoid Alibi Progress. Today, let's tackle the practice that often gets dismissed as "good in theory, impossible in practice" — Product Discovery.

When teams tell me "we don't have time for proper Discovery," they're usually stuck in Alibi Progress — focusing on following lengthy processes rather than reducing uncertainties from wherever they are right now. Discovery doesn't need a 28-phase framework to be valuable.

Let's treat Discovery like a product to make it practical:

For product teams, Product Discovery helps reduce uncertainty about problems and solutions worth pursuing. We know it's valuable when investment decisions are based on reliable evidence rather than assumptions, and teams avoid building features that don't solve validated problems.

Let's unpack this value statement:

For your audience (product teams with high uncertainty)

  • Discovery isn't equally valuable for all teams at all times—its intensity should match your level of uncertainty.
  • Teams with established products in mature markets might need less extensive discovery than those entering new spaces.
  • If stakeholders become the primary audience, Discovery risks becoming a theater of validation rather than genuine learning.

For the problem you're solving (reducing risk through evidence):

For your success measures (evidence-based decisions):

  • Track how many feature ideas were discarded based on Discovery evidence (a healthy Discovery process kills bad ideas).
  • Monitor the adoption of shipped features that went through Discovery versus those that didn't. Putting an Epic into the Done column doesn't mean it had an Impact on customer behavior or business goals.
  • Evaluate how quickly teams reach sufficient confidence to make decisions, not just how many research activities they completed.

Instead of worrying about following discovery theory, I recommend a practical approach: the "one-week test." If you could spend one week reducing uncertainty about your biggest uncertainty, what would you do? This approach forces teams to focus on high-leverage activities rather than comprehensive processes.

Remember: You're not a better product manager because you followed a six-phase Discovery process exactly. You're better when you can confidently explain, based on reliable evidence, which customer problems are worth solving.

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

PS: My inner dialogue whenever I discover a new coffee brewer:

How to Dive Deeper into Product Discovery

Learn how I helped companies like Deutsche Telekom and Forto hone their Product Discovery practices. I closely work with product organizations through workshops and coaching to introduce and adapt Product Discovery.

Content I found Practical This Week

Product Discovery with Internal Customers

video preview

We did all this discovery... now how do we decide?

To help us to eliminate (not forever, but for the purpose of making a decision now) I've found one technique very helpful. The trick is to flip things around. Instead of describing the good that will happen by doing an idea, we look at what goes wrong when we don't do it. To make that flip, we can ask two simple questions:

Sample size and confidence: How to get your team to trust qualitative research

The only thing that matters is how confident your team is about the next decision they need to make. You might get that confidence from watching 2 people. You might need to watch 20. You might need to watch 20, then check your hypothesis at a larger scale with a survey or analytics. It all depends on the confidence of your team.

Who is Tim Herbig?

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

Read more from Product Practice Newsletter

Product Practice #396 MECE: Double the Usefulnessof Your Metrics Trees PUBLISHED Feb 19, 2026 READ ON HERBIG.CO Dear Reader, Many resources say your metrics trees need to be "MECE." But how do you do it? MECE stands for: Mutually Exclusive Collectively Exhaustive In the context of metrics trees, this means mapping the individual drivers of an overarching goal in a way that allows us to identify and improve domain-specific levers through selective focus, while creating holistic...

Product Practice #395 How it feels being Interviewed by AI PUBLISHED Feb 13, 2026 READ ON HERBIG.CO Dear Reader, Last week, I invited you to join an AI-led concept test of a side project idea. Here's what participants share with me about their experience: "It was like getting interviewed by someone who is doing this one of the first times." "I felt free to say what I wanted without 'hurting' the interviewers. I felt listened (as the AI was repeating my points). But sometimes the conversation...

Product Practice #394 Can an AI Interviewer doYour Concept Testing? PUBLISHED Feb 6, 2026 READ ON HERBIG.CO Dear Reader, What happens when you let an AI do the concept testing of design variations? I used Reforge's AI Concept testing* to find that out. As a prototype, I chose an app idea that lets you document taste notes from brewing specialty coffee. And I need your help exploring how AI-led interviews feel for participants (and improving the app design ☕️). I mostly went with their...