INDUSTRY CASE

Product Manager

Breaking Down Data Silos: How AstroBee Helps PMs Build Better Products

AstroBee

Your top customer-driven features are ranked and revenue-linked

AstroBee

Your top customer-driven features are ranked and revenue-linked

If you’re a product manager, you probably know this pain: Usage data lives in your product database or analytics tool, customer feedback is scattered across Zendesk, Intercom, and Slack, feature requests are tracked in Jira or Notion, revenue impact is buried in Stripe or Salesforce None of it talks to each other. When you need to answer a question like “Which features are driving the most adoption among high-value customers?” you’re stuck waiting on analysts, exporting messy CSVs, or juggling dashboards that never quite align. PMs shouldn’t need a full data team just to know what users want. AstroBee makes that possible.

The old way

Export data, clean it, book time with analysts, wait for a dashboard, then translate it for team members. Weeks pass, the cost of waiting rises.

The AstroBee Way

Completely independent and self-serve.

Connect

Plug in Mixpanel, Jira, Zendesk, Intercom, Salesforce, and Stripe.

Generate

Behind the scenes, AstroBee normalizes your data so “event,” “ticket,” “feature request,” and “customer” all connect.

Act

Get insights and recommendations from AstroBee using your own data.

One source of truth without the backlog

Instead of begging analysts for a custom report, AstroBee connects to your existing systems and builds a single, unified view of product + customer data.

Think of it as a translation layer that automatically aligns:


  • “Event” in Mixpanel

  • “Ticket” in Zendesk

  • “Feature request” in Jira

  • “Customer” in Salesforce


Everything finally matches up, so you can see usage, feedback, and business impact all in one place.

Why this matters for PMs and AI assistants

PMs are being asked to move faster and ship smarter. Many are starting to use AI copilots for roadmap planning, feature analysis, or writing PRDs.

Here’s the catch: most AI agents only see part of the picture. They can summarize a feedback channel, but they can’t tie it to product usage or revenue impact.

With AstroBee, the assistant only needs one call. Everything is unified in the background, so you can finally get complete, trustworthy answers in seconds.

Think of it as your product ops partner, always on.

A quick example

Once AstroBee understands your data, you can ask it insights, actionable recommendations and more.

You want to know: “Which new feature requests came from customers who adopted our beta and generated more than $50k in ARR?”

Normally, you’d

  • Export feature request data from Jira

  • Pull adoption metrics from Mixpanel

  • Cross-check revenue in Salesforce or Stripe

  • Stitch it all together in a spreadsheet

  • Wait weeks for analytics to automate it

With AstroBee

  • Connect Jira, Mixpanel, and Salesforce once

  • The ontology unifies “customer” and “feature request” across tools

  • Ask the question in AstroBee or through your PM copilot

  • Get a clear answer in seconds

Suddenly, roadmap decisions that took weeks now take minutes.

The payoff

Self‑serve lets you reach targets with no analysts, no backlog.

Save time

No more juggling spreadsheets or waiting on backlog tickets

Lower costs

Fewer custom reports and less analyst overhead

Faster insights

Make confident roadmap calls with complete context

Better prioritization

Tie feature requests to actual customer value

The future: unified data & smarter agents

Great PMs don’t just guess what to build: they listen to customers, watch usage patterns, and tie it back to business outcomes. But when that data is siloed, you’re making decisions in the dark.

AstroBee gives you the foundation to:


  • See which features drive adoption and retention

  • Prioritize requests based on real customer impact

  • Automate product analysis with AI agents that finally have the full picture

AstroBee helps PMs stop chasing data and start building products that customers love.