Pinpoint what actually matters
in your user feedback.
Startis lives in your Slack, Linear, Intercom, Zendesk, Jira, and PostHog — with GitHub coming soon. It finds the patterns across all your channels, shows you how many customers share the same pain point, and traces every insight back to its source.
Reads from your existing stack — no migration, no setup
The PM's daily reality
Feedback is everywhere. Insights are nowhere.
“It seems like everyone on my team notes user feedback down in a different place. So I’m looking to try and centralise it somewhere.”
Pain points in Intercom. Feature requests buried in Slack. Bugs in Linear. Usage data in PostHog. You’re synthesizing across four tabs and still missing patterns.
You’re drowning in noise
“There’s so many random people sending BS feedback to our email and other feedback channels. There’s gotta be a good way to get through the noise.”
Manual synthesis doesn’t scale. By Friday there are 30 new conversations you haven’t read. You need to pinpoint the actually important trends, not sift through every message.
Your team can’t agree on what matters
“Our team is divided. Half think we should build Feature A, the other half is sure Feature B is the priority. All based on “user feedback.””
Nobody can say how many customers actually asked, or from which channels. Without a shared source of truth, the roadmap goes to whoever argues loudest.
How it works
Finally make sense of all the
feedback your team is drowning in.
No spreadsheets. No week-long synthesis. Connect, ingest, ask.
01
Connect your stack
Enter your product URL and connect whichever tools you use — GitHub, Slack, Linear, Intercom, Zendesk, Jira, PostHog. Each integration adds a new signal layer. All optional.
Startis crawls your landing page and builds a model of your product — what it does, who it's for, and what's shipped — then pulls signals from every connected tool.
What are you building?
Acme Analytics
02
Duplicates merged. Patterns surfaced.
Startis reads your connected tools and runs live web research. It ingests raw signals — pain points, feature requests, bug reports, and user quotes — from every source.
The chat synthesizes patterns on demand, grounded in real evidence. Ask what users are complaining about and it reads across all your tools to find the answer.
03
Ask anything. Get evidence.
Everything happens in a single chat. Ask what users are complaining about — it reads your Intercom and Slack. Ask what to prioritize — it shows the top pain points with evidence from every source. Ask it to write a PRD — it grounds every claim in real user quotes with sources.
No recommendation without evidence. No insight without a citation. Ask it to justify anything.
What are customers complaining about?
Reading Intercom conversations...
Based on 12 recent Intercom conversations, the top complaint is export performance — 5 users mentioned it:
“Export keeps failing on large datasets, been waiting 2 weeks for a fix.”
What should we prioritize next?
Looking up signals...
What you get
One place for all your feedback. Finally.
Startis doesn't just surface insights — it connects evidence to prioritization to execution.
“Search takes 10+ seconds on any dataset over 1k rows, basically unusable”
Ask it to write anything — grounded in your actual user data, not guesses.
Write a PRD for the search overhaul
Scoped from 3 Intercom complaints + 2 Slack threads
How do we compare to Competitor X?
Live web research + your product context
Build me a case for why we should fix search first
Evidence brief with quotes, signal counts, and sources
Every claim traced back to a real source
Continuous signal intake
Your data stays current.
On demand.
Hit resync to pull fresh signals from all connected tools. Your chat always has the latest data — customer complaints from Intercom, team discussions in Slack, issues from Linear and Jira.
Every tool you need. One conversation.
Research, analyze, write, and ship — without leaving the chat.
Understand
Query data
Pain points, feature requests, trends
Web research
Competitor intel and market signals
Analyze feedback
Paste raw feedback, extract signals
Read Slack
Team conversations and threads
Read Linear
Ticket status and progress
Read Intercom
Customer complaints and requests
Read Zendesk
Support tickets
Read Jira
Issues, bugs, and requests
Query analytics
Usage data from PostHog
Produce
PRDs & specs
Scoped from real feedback, grounded in evidence
Research briefs
Competitive analysis and market positioning
Stakeholder updates
Investor emails, team memos, status reports
Priority rankings
RICE-scored with real evidence from your channels
Tickets & issues
Ready to push to Linear or Jira
Gap analysis
What you know, what you don't, what to validate
Your users are already telling you what to build —
in Slack threads, support tickets, Linear issues, and usage data.
The problem isn't collecting feedback.
It's that nobody has time to connect it all and figure out what actually matters.
Stop sifting. Start shipping.
Connect your tools. See what your users actually need — quantified, prioritized, and ready to act on.
No credit card required