Count your product yourself

You ship the feature. The team celebrates. Usage looks good. And then… what actually happened? Did it move retention? Revenue? Satisfaction?

Shrug emoji.

This keeps happening because measurement is treated as an afterthought-something you bolt on after launch to confirm people are using it, rather than something you design from the start to drive continuous improvement. And when teams do measure, they're often drowning in dashboards, working in silos, and making gut decisions anyway because the data's there but the insight isn't.

The result? Product teams ship features that don't move the needle. Analysts are underwater building reports after the fact. PMs have already moved on to the next thing. Nobody can confidently say what's actually working or why.

Here's what needs to change: measurement has to be part of the product development process from day one. PMs, product analysts, and the data team need to collaborate throughout-not just at launch-so product work connects to company growth, not just feature usage.

In this webinar, we'll look at how to make data actually power your product development, from initial scoping through to impact measurement and iteration.

We'll cover:

1. Why measurement as an afterthought kills impact - and how to build it into your process from kickoff instead of scrambling after launch
2. From vanity metrics to continuous improvement - connecting product events to business outcomes that matter, not just "people clicked the button"
3. Making PM, analyst, and data team collaboration real - using tools like Count's collaborative canvas to work together in real-time, not in handoff cycles
4. Iterating on measurement itself - building analysis that evolves as you learn, not static dashboards you check once and forget

Who should tune in?

• Product managers who want data to inform decisions, not just validate them after the fact. You'll leave with approaches to integrate measurement from the start.
• Product analysts tired of the post-launch scramble to prove impact. You'll leave with ways to work collaboratively throughout the product cycle, not just at the end.
• Data teams supporting product who want to help product sit in the context of company growth. You'll leave knowing how to make product analytics part of the strategic conversation.