SpeqForgeSpot what's trending in your feedback before it becomes a crisis.
Analytics scans all your feedback across projects, detects momentum, surfaces emerging issues, and delivers a plain-English report so you always know what needs attention first.
Example AI insight cards
Mentions of data export have more than tripled over the past 30 days, now appearing in 22% of all feedback. Users are actively blocked on workflow integrations.
First mentions of slow load times on Android appeared 12 days ago. Now at 8% of recent feedback and accelerating. No reports existed 60 days ago.
Negative sentiment around onboarding dropped from 34% to 11% following last month's tutorial launch. Users specifically cite the new checklist.
Users completing the full setup flow jumped from 41% to 63% following the guided checklist launch. Positive "getting started" sentiment is at its highest level in 12 months.
Team sharing and multi-user workflow requests have grown from 2% to 11% of all feedback over 90 days. This trend has been consistent across 8 consecutive weeks.
Example trend view: CSV / Data Export requests
Nearly 8× growth over seven weeks, flagged automatically by Analytics
How it works
Connect your feedback sources
Upload feedback from any source, including support tickets, reviews and interviews, across one or many projects in your workspace.
Analytics surfaces cross-cutting trends
Analyses patterns across all your feedback, identifying momentum, emerging themes, and anomalies you'd miss reading manually.
Get a narrative insight report
Receive a plain-English summary of what's trending, what's improving, what's getting worse, and what to act on first.
What Analytics detects
Patterns that would take a human analyst weeks to find.
Spots themes gaining or losing momentum across your feedback over time.
Flags new problems appearing for the first time before they become high-volume complaints.
Shows which topics are growing, stable, or declining across your feedback corpus.
Detects when sentiment around a topic or feature changes, positive or negative.
Re-run insights weekly or monthly to track how user sentiment evolves post-launch.
Export a concise insight report for your weekly product review or investor update.
Before vs. after
Where this fits in your workflow
Example weekly digest export
- ·Onboarding negative sentiment dropped from 34% → 11% following the tutorial launch
- ·CSV export satisfaction is up 18 points, and your most-requested feature is paying off
- ·Android load times: 8% of recent feedback, up from 0% twelve days ago, and the trend is accelerating
- ·Billing flow confusion: 12 new mentions this week, concentrated around the upgrade modal
- ·Sudden spike in "password reset" mentions on May 27, a possible auth issue, needs same-day review
- ·"Data loss" mentioned 3 times in 48 hours, requiring immediate investigation before it escalates
- ·Team collaboration features grew from 2% → 11% of all feedback over the last 90 days
- ·Mobile requests are accelerating, now 18% of all feedback, up from 7% in Q1
Perfect for
Share a live summary of what's moving without manual prep.
See exactly how sentiment shifted after a feature ships.
Evidence-backed product health report in seconds.
Understand long-term trends before setting OKRs.
Frequently asked questions
How is Analytics different from just re-running Feedback Analysis?
Feedback Analysis examines a single batch of feedback at a point in time. Analytics tracks changes across multiple analyses over time and tells you what is getting worse, what is improving, and what has appeared for the first time. The value is the trend and the delta, not the snapshot.
How often should I run an insight report?
Weekly is the recommended cadence for most teams. It keeps signal-to-noise high and lets you catch emerging issues before they escalate. Monthly reports work for slower-moving products. Running more frequently than weekly tends to surface noise rather than meaningful signal.
Can I share the insight report externally with stakeholders?
Yes. Every insight report has a shareable read-only link. You can also export it as a PDF or paste the weekly digest directly into a Slack message, Confluence page, or email. The format is written to be readable without any product context, so you can send it to a board member or investor directly.
Does it work across multiple projects in the same workspace?
Yes. Analytics can span all projects in your workspace, giving you a workspace-level view of trends. This is particularly useful for teams managing multiple products or for agencies managing multiple client products, since you get a single digest that covers everything with a cross-project comparison.
Stop flying blind on your feedback.
Get data-driven trend reports from your own feedback. Free to start.
Get started free