Weekly Product Hits: Turning Thoughts Into Insights, Paying Less, Aligning Goals with Resources


Product Hits: September 15, 2025

Every week, I share three great product resources from a variety of perspectives. Let's dive in!


How to turn thoughts into insights by Linda Zhang

Linda Zhang, founder of Product Lessons, explains that insights aren’t raw thoughts but the result of deliberate processing. She shares tactics like documenting early ideas, stepping away to let the subconscious work, and honing pattern-matching skills. For PMs, this discipline turns scattered observations into sharper strategy and more credible communication.

Do Your Customers Really Want to Pay Less? by Noa Ganot

Noa Ganot, founder of Infinify, challenges the assumption that customers always want lower prices. She argues that what people really value is the balance between what they get and what it costs, and urges PMs to weigh trade-offs across customer needs, company limits, and their own biases before deciding.

Aligning Goals with Resources by Victor Cheng

Victor Cheng, VP of Product at LivePerson, cautions that goals without resources are fantasies. He suggests a simple audit: compare your stated priorities with how you actually spend time, resources, and energy, then rebalance. Cheng reminds PMs that roadmaps and calendars should reflect strategy, not drift toward the loudest requests.


Behind the Scenes

Hey there, it’s Clement! When teams say they want to be “data-driven,” it can quickly turn into every decision needing a chart, every experiment needing statistical significance, and anything unmeasurable getting pushed aside.

This is awfully dangerous territory to be in.

Why? Because data is just one input out of many.

Yes, strong product managers use data to inform decisions; but, they don't use data to replace judgment or critical thinking.

For example, sometimes the numbers say something’s broken when it isn’t.

A dip in engagement might look alarming, but zooming out could reveal an expected seasonal lull.

On the other hand, a spike might seem like success until you realize it came from low-quality traffic or a short-term promotion.

When metrics are murky, go back to what users are actually doing.

If feature usage drops, ask customers: are they finding workarounds? Did friction creep into the experience? A handful of interviews often reveals intent that data alone can’t show.

Pay attention to what isn’t in the numbers too. A low clickthrough rate might mean a feature isn’t useful, or it might just be hard to discover.

Pairing analytics with usability sessions, heatmaps, or support tickets usually uncovers the full picture.

And not every improvement will register right away! Simplifying flows, reducing cognitive load, or improving accessibility may not drive KPIs immediately, but they compound into stronger outcomes over time.

If your team has leaned too heavily on metrics, it may be time to recalibrate towards customer empathy and discovery!

How are you balancing data with judgment? I’d love to hear what’s worked for you.

With love,
Clement


Let's do more together!

Keep problem statements pure.

The moment you sneak a solution into the problem, you limit your team’s creativity.

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