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The Rise of Modern Product Discovery

Product Talk

I love that Marty Cagan and Jeff Patton have long been advocates of dual-track development. Their efforts have helped to shape the ongoing conversation about the evolution of product discovery. If you aren’t familiar with dual-track development, it’s the separation of product discovery from product delivery.

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How Our Cross-Functional Teams Decide What to Build at Whispir

The Product Coalition

I wrote a variation of this for the various product teams at Whispir recently and then as fate would have it, a CEO I know reached out to me on LinkedIn asking the same thing?—?so with very little effort but a huge amount of diligence and thought, and you can do it in 15 minutes if you have access to all the research already.

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391: Product VP of Wyze uses community for product innovation and you can too – with Steve McIrvin

Product Innovation Educators

How product managers can get customer insights from a community to create a competitive advantage. I wanted to learn how this company creates competitive products, differentiating on cost while offering comparative capabilities that equates to much higher value for customers. Summary of some concepts discussed for product managers. [3:15]

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A Practical Prioritization Approach for Technical Debt

The Product Coalition

Assume you have new feature requests from business, but your technical team wants to fix the technical debts first, what do you do?”. Well, it is logical for the interviewer to assume that as a product owner, you will have a ready answer for this. these are the debts created because of the mistakes the product team makes.

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Top 5 Observational Research Best Practices

BrainMates

Observation is an important part of mixed methods user research. Observational research is particularly useful during the early phase of product or feature discovery, to uncover the pain points of existing solutions and to discover opportunities worth exploring further to serve unmet needs. A curious discovery was made.

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Why You Aren’t Learning As Much As You Could From Your Experiments

Product Talk

I love that A/B testing has become so popular. Most teams make one of the following two mistakes: They either gate releases with an A/B test trying to understand whether or not the feature had the intended impact or they test variables blindly hoping to stumble upon a better variation.

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Image From Raw Data to Clarity — Cleaning, Sorting, and Synthesising Insights

UX Planet

From Raw Data to Clarity — Cleaning, Sorting, and Synthesising Insights Part 4 (of 5) of the UX Research Playbook series Synthesising qualitative data is similar to reaping the harvest after the diligent effort poured into research — it’s the step where hard work blossoms into meaningful insights. Mural , Miro , etc.)