SaaSProduct

Feature usage tracking

Seeing which tools in your app are used daily vs. never.

Who is this for?

Product managers who need to understand which features drive value and which are underutilized.

What problem does it solve?

Identify which features users actually engage with so you can prioritize development and deprecate unused functionality.

AI-Powered Insights

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Questions You Can Answer

Key Insights & Dashboards

Ask these questions in natural language and get instant, AI-powered insights from your data warehouse.

Question

Which feature has the highest daily usage?

Insight

Dashboard accessed by 78% of users daily, while Reports is only used by 12%.

Question

What's the feature adoption trend?

Insight

New AI Assistant feature grew from 5% to 34% adoption in 30 days.

Question

Which features correlate with upgrades?

Insight

Users who use Integrations are 3.2x more likely to upgrade to Pro.

Business Impact

Expected ROI

Organizations using this use case typically see measurable improvements in these areas.

Reduce feature bloat by 40%

Increase feature adoption by 25%

Prioritize roadmap with confidence

Data Requirements

What You'll Need

To use this analysis, ensure your warehouse contains the following data. Mitzu will automatically detect and map these fields.

  • Feature interaction events
  • User identifiers
  • Timestamp for all actions
  • User segment data
Schema Mapping
user_id→ required
timestamp→ required
event_type→ required
properties→ optional

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