Templates

Insights

Measure what changed after launch

Use Template

By Nalvin

Use Template

Description

Nalvin helps you track feature adoption by turning analytics signals into a clear story: who adopted, what changed, where users drop off, and what to do next. It runs focused analysis over a defined window, highlights segment differences when possible, and outputs a short set of recommendations that a PM can act on immediately.

Supported Integrations

Templates are flexible by default. Nalvin automatically picks the right integrations based on what you’ve connected.

How to best use this template

Below are a few tips & tricks from the Nalvin team to get the most out of this template.

Start with a clear success event

Adoption tracking depends on defining what “adopted” means (event, funnel step, or behavior). If you can’t name it, Nalvin should propose options and ask you to choose.

Choose a before/after window

You can level this up by comparing pre-release vs post-release windows. This makes changes easier to attribute and reduces noisy interpretation.

Look for drop-offs, not just usage

A spike in usage can hide friction. Ask Nalvin to flag where users stop in the funnel and propose the top hypotheses to validate.

Segment the results when it matters

If you have CRM context, compare adoption by segment or tier. This helps you see whether the launch moved the needle for your most important customers.

Turn findings into experiments

End with 3–5 concrete next steps: instrumentation fixes, UX changes to test, and follow-up questions to ask in interviews.

Start with a clear success event

Adoption tracking depends on defining what “adopted” means (event, funnel step, or behavior). If you can’t name it, Nalvin should propose options and ask you to choose.

Choose a before/after window

You can level this up by comparing pre-release vs post-release windows. This makes changes easier to attribute and reduces noisy interpretation.

Look for drop-offs, not just usage

A spike in usage can hide friction. Ask Nalvin to flag where users stop in the funnel and propose the top hypotheses to validate.

Segment the results when it matters

If you have CRM context, compare adoption by segment or tier. This helps you see whether the launch moved the needle for your most important customers.

Turn findings into experiments

End with 3–5 concrete next steps: instrumentation fixes, UX changes to test, and follow-up questions to ask in interviews.