Coming soon
What Astra does in Reviews
Astra scans your reviews and pulls out the patterns that matter, fast. For example:
The biggest negatives driving low ratings
The strongest positives worth reinforcing
Bugs and breakpoints users keep mentioning
Feature requests with real customer phrasing
Pricing, trial, and refund confusion signals
A list of recommended actions your team can actually execute
Astra is built for decision-making. It helps you prioritize what to fix, message, or ship next.
When to use Astra
Use Astra when you need to:
Run a weekly review pulse without reading hundreds of reviews
Catch new issues after a release
Understand what is driving rating changes
Turn review themes into tickets, fixes, and copy changes
Align Support, Product, and Marketing on one source of truth
How to run Astra on your reviews
Go to Analyze → Listen → Reviews
Click Start AI analysis
Review the AI highlights summary at the top
Use the themes to decide what to escalate, fix, or respond to
💡 Tip
Run Astra on a consistent cadence (weekly) and again after every major release.
The insights you can get from Astra
Spot bugs that are quietly tanking ratings
Astra highlights bugs users describe in plain language, so you can:
Identify the most common breakpoints
See where issues cluster by app version, platform, or country (when available)
Detect whether the problem is worsening or improving vs the last period
What to do next:
Convert the bug theme into a single ticket with examples and scope
Prioritize anything tied to crashes, logins, payments, or data loss
Know what users dislike most, and how widespread it is
Astra surfaces the top negative themes and helps you separate:
A loud minority issue vs a real volume driver
A one-off complaint vs a trend
What to do next:
Build a short list of “Top 3 negatives” and assign owners
Use those themes to update macros, help content, or in-product guidance
Double down on what users already love
Astra also pulls out positive patterns so you can:
Reinforce what is working in product and messaging
Identify strengths to feature in store listing copy, ads, or onboarding
What to do next:
Turn top positives into repeatable proof points for Marketing
Use them as the backbone for “here’s what’s new” release notes
Turn feature requests into roadmap inputs
Instead of vague “please add X” noise, Astra helps you:
Group feature requests into clear buckets
Capture sample phrasing that explains the “why” behind the ask
What to do next:
Add the top request themes to roadmap review with real customer language
Tag requests that map to churn risk or competitive parity
Catch monetization and pricing friction early
Reviews often reveal conversion blockers before dashboards do. Astra can help flag:
Trial confusion and “I got charged” style complaints
Refund expectations and subscription clarity gaps
Geography-specific pricing pushback (when mentioned)
What to do next:
Audit paywall and trial messaging for clarity
Update store copy and FAQs to reduce preventable 1-star ratings
🚨 Alert
Pricing confusion is usually a messaging problem before it is a pricing problem. Treat it like a conversion bug.
Make review response strategy smarter
Astra helps you respond with context, not guesswork:
Identify which complaints deserve a public reply
Separate “fix coming” issues from “how-to” confusion
Keep tone aligned to what reviewers actually care about
What to do next:
Reply fastest where issues are high-impact and high-volume
Build a short response library aligned to top themes
How teams use Astra operationally
Product
Prioritize fixes by frequency and impact, not loudness
Validate whether a release created a new wave of complaints
Support and Community
Improve reply speed by focusing on the top repeated issues
Reduce escalations by updating guidance around the biggest confusion points
Marketing
Pull top positives into store listing copy and campaign messaging
Spot “promise gaps” where users expected something different than delivered