Less dashboard. More answers.

Just shipped one of the biggest updates to Spectry so far.

One thing we've learned while building product analytics: most tools are great at telling you what happened.

The harder question is why it happened.

So instead of cramming in more dashboards, we've been focused on shortening the path from finding a problem → understanding it → fixing it → verifying the result.

Some of the biggest improvements:

🔥 Heatmaps

• Much more accurate for SPAs

• True scroll-depth visualization

• Side-by-side comparisons

• Click any hot element and jump straight into the sessions behind it

🤖 AI Insights

• Ask questions conversationally instead of reading static reports

• Jump directly into affected session replays

• Verify whether fixes actually improved the experience

• Weekly AI summaries delivered automatically

📊 Audience Analytics

• Better period comparisons

• New vs returning visitors

• Engagement metrics

• Improved attribution

• CSV exports

• Faster drill-downs into sessions

Under the hood, we also spent a lot of time on things users rarely notice—but definitely feel:

• Faster queries

• Lower AI costs (80–90% reduction for steady-state insight generation)

• More reliable tracking

• Better scalability

• Higher data quality

The goal isn't to build another analytics dashboard.

It's to help product teams spend less time hunting for answers and more time making better product decisions.

Still a lot to build, but this feels like a big step in the right direction.

Would love to hear what features you think are still missing from modern product analytics.