Know what to build next.From evidence, not noise.
Layr connects Slack, Jira, Linear, customer calls, support tickets, and product docs, then turns scattered signals into evidence-backed priorities, specs, and task drafts.
Signals connected
Slack, calls, support, and docs in one stream.
Evidence aligned
Demand, urgency, and source context attached instantly.
Spec drafted
Priorities, briefs, and task drafts ready to review.
Layr is the intelligence layer between your product tools. It reads the signals your team already has across conversations, tickets, calls, feedback, and docs, then helps you turn them into clear product decisions.
For founders, PMs, and early product teams, Layr keeps the customer voice close to the roadmap. No more digging through Slack threads before every sprint. No more PRDs that explain the solution but forget the problem. No more guessing which customer pain is real enough to bet engineering time on.
From messy signal to confident product decisions
Everything Layr does is designed to shorten the path from scattered feedback to action.
Slack-Native Product Q&A
Ask questions where your team already works. Layr answers from connected product context with links back to the source material.
Evidence-Backed Recommendations
Every recommendation includes the customer quotes, tickets, threads, or docs that support it.
Pattern Detection
Layr groups repeated pain points, feature requests, blockers, and objections across your product stack.
Prioritized Opportunities
See which problems are repeated, urgent, strategically relevant, and ready for action.
Draft Specs
Turn a recommendation into a concise PRD with the problem, target user, evidence, acceptance criteria, and open questions.
Jira & Linear Task Drafts
Convert approved specs into task drafts for review before anything is published.
Connect. Ask. Decide. Ship.
Connect the tools you already use. Ask the questions your team already debates. Get answers that show their work.
- 01
Connect Your Sources
Start with Slack and Jira or Linear. Add customer calls, support tickets, docs, and feedback channels as your team grows.
- 02
Layr Builds Product Context
Layr indexes the relevant conversations, decisions, tickets, customer requests, and product artifacts.
- 03
Ask a Product Question
Ask things like "What should we build next for onboarding?" or "Which enterprise blockers keep coming up?"
- 04
Review the Evidence
Layr returns a ranked answer with supporting quotes, linked tickets, source threads, and reasoning.
- 05
Move to Execution
Create a draft spec and task breakdown, then approve what gets sent to Jira or Linear.
Built for high-leverage product moments
Founders, PMs, and engineers use Layr in the moments where teams need clarity before they spend engineering time.
Acme flagged checkout failing during rollout.
#cust-feedback
Checkout error spike on team plans.
SUP-118
We can't expand seats until checkout is stable.
Acme renewal
Less context hunting. Better prioritization. Faster handoff from product judgment to execution.
Three ways to decide what to build next.
Most teams guess from scattered feedback or buy another dashboard to stare at. Layr turns every customer signal into one evidence-backed decision.
Manual triage
Piece it together by hand
- Evidence
- Scattered across Slack, tickets, calls, and docs
- Your time
- Hours of reading and copy-paste every week
- Decision basis
- Gut feel and whoever asks the loudest
- What you ship
- A roadmap you hope is right
More point tools
Buy dashboards, hire to read them
- Evidence
- Locked inside each tool's own dashboard
- Your time
- Exports, briefings, and manual synthesis
- Decision basis
- Charts a human still has to interpret
- What you ship
- Insights that stall before the spec
Layr
One loop over the stack you already use
- Evidence
- Unified automatically from every source you connect
- Your time
- Connect once, then review the recommendation
- Decision basis
- Every call traced to real customer evidence
- What you ship
- Ranked decisions with PRD-ready drafts
Layr doesn't replace Jira, Linear, Slack, or Notion. It sits on top, connects the context between them, and turns it into your next decision.
Product data is sensitive. We treat it that way.
Product discovery data is sensitive. Layr is designed to earn trust before it asks for deeper access.
Read-Only by Default
Layr can analyze context without changing your tools. Write actions require explicit approval.
Source-Linked Answers
Important recommendations link back to the original quotes, tickets, threads, calls, or docs.
Least-Privilege Access
Integrations request only the scopes needed for the workflow you enable.
No Model Training on Your Data
Your product data is used to serve your workspace, not to train shared models.
Human Approval for Writes
Specs, ticket drafts, and workflow outputs are reviewed before they are published.
Data Controls
Choose which channels, projects, and sources Layr can access.
Frequently Asked Questions
Everything you need to know about how Layr turns scattered signals into clear product decisions.
Layr is a product decision engine that connects your existing product tools and helps your team decide what to build next.
Early access
Get early access to Layr
We're inviting founders, PMs, and product teams who want clearer decisions from the signals they already have.