From signal to shipped improvement in one system.
ShipCadence turns your customer signals, codebase, and product analytics into scoped work your AI coding tools can actually use.
Sources
Repos, messages, analytics
Decision
The next improvement
Build
Scoped work for AI coding tools
The ShipCadence system
From source signal to next release.
Connect
Bring in your working context
GitHub, Slack, and analytics connect as selected sources, not a broad data dump.
Review
Keep the signals that matter
Customer feedback and product data stay reviewable before they shape the backlog.
Decide
Approve the next improvement
ShipCadence turns context and evidence into the next improvement to approve.
Build
Move from decision to PR-ready work
Send scoped work to your AI coding tools, or add hosted code builds when you want ShipCadence to run it.
Measure
Learn from what shipped
Focused readouts show what changed, then feed the next product cycle.
Connect the tools you already use.
ShipCadence pulls the right context from your repo, selected customer conversations, and product analytics so every product cycle starts from the business you are actually building.
GitHub
Slack
Google Analytics
PostHog
Mixpanel
Plausible
Fathom
Simple Analytics
OpenAI Codex
Claude CodeGive ShipCadence the context a real product team would keep close.
ShipCadence starts from your company, customer, goal, competitor, and positioning context so every cycle is grounded in the business you are trying to build.
Start with an AI-drafted business context from your website, then use paid deep research to sharpen customers, competitors, and positioning.
Keep the product goals and success signals editable, so ShipCadence keeps learning from the business you are actually trying to build.
Connect only the sources you approve.
Bring in GitHub, Slack, and product analytics with narrow source selection, clear access labels, reconnect controls, and a direct path to disconnect.
Choose the exact repos, conversations, inbox labels, and analytics sources you trust instead of handing over every account by default.
See what is connected, what needs attention, and what ShipCadence can read before a source shapes a product cycle.
Review customer and product signals before they shape the roadmap.
Every imported signal keeps its source visible. You decide what to keep, promote, or remove before ShipCadence turns feedback into product direction.
Separate real customer pain from background noise before it affects what gets built next.
Promote urgent feedback into a focused build, or remove weak signals so the product direction stays clean.
Choose the next improvement without running product meetings.
ShipCadence uses approved signals, codebase context, and measurement data to create one scoped improvement with evidence and next build steps.
Understand why ShipCadence picked the next improvement, with the customer evidence and business context visible beside the decision.
Avoid a sprawling roadmap by getting one scoped move with expected impact, what not to change, and how success will be measured.
Turn the decision into work a developer or agent can execute.
Each approved item gets scope, acceptance criteria, test notes, out-of-scope guardrails, code context, and a measurement plan before implementation starts.
Hand off work without writing a full product spec yourself; ShipCadence turns the decision into clear scope, acceptance criteria, and test notes.
When a build needs more than text, ShipCadence adds the right artifacts, such as wireframes, data structures, and implementation specs, so the builder can work from the approved product direction.
Send approved scope to the AI coding tools you already use.
Use your preferred AI coding tool, or add ShipCadence-hosted code builds when you want implementation handled inside the system.
Keep control of final approval while ShipCadence carries the approved product decision into the build step.
Review the finished work, request changes, or mark it shipped from the same place you approved the improvement.
Close the loop after the pull request ships.
Focused measurement snapshots show what changed after a shipped build, so product decisions do not disappear once implementation is done.
Once a linked PR is marked shipped, ShipCadence starts the right measurement loop for that improvement.
See whether the release moved the events, pages, and product metrics you chose, then feed that learning into the next cycle.
