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Your standup is in five minutes. Someone says the checkout is broken. You flip to your analytics tool, see a drop, flip to GitHub, dig through recent deploys, find the PR, read the diff, and then file the bug in Linear. That’s 30 minutes of context switching before you even start fixing anything. Runner connects your issue tracker, your repo, your analytics, and your project tools. You describe the problem, Runner traces it to the cause and takes the next step.

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Your stack, connected

Runner works across the tools product and engineering teams actually live in. Connect them once and Runner handles the rest.
Linear

Linear

Sprint planning, bug filing, project tracking
GitHub

GitHub

PRs, deploys, diffs, commit history
Mixpanel

Mixpanel

Event tracking, funnels, feature usage
Slack

Slack

Deploy alerts, team updates, release summaries
Google Docs

Google Docs

PRDs, specs, roadmap summaries
Notion

Notion

Project wikis, meeting notes, team docs
Runner also works with PostHog, Jira, Salesforce, and many more.

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What Runner does for product and engineering

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Plan sprints with real data

Runner pulls your backlog from Linear, checks what rolled over from last sprint, looks at analytics to see what’s actually impacting users, and suggests priorities. Not based on gut feel. Based on the numbers.
“Help me plan our sprint for next week.”
14 open issues, 6 rolled over from last sprint, 3 are blocked. The onboarding flow you shipped last sprint has 23% drop-off at step 3. Runner recommends fixing that first, then 2 high-priority bugs. Updated the sprint in Linear with suggested assignments.

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Trace a bug to the PR that caused it

Something is broken. Runner checks your analytics for the drop, finds the deploy that lines up with the timing, pulls the diff, identifies the change, and files a P1 bug in Linear assigned to the PR author.
“We’re getting reports of a checkout bug, what’s going on?”
Conversion dropped 18% starting yesterday at 3pm. Deploy at 2:45pm, PR #847 touched the payment flow. Null check was removed on line 142. Bug filed in Linear and assigned.

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Measure feature impact

Runner pulls usage events from Mixpanel, checks session recordings, identifies gaps, and creates action items. Not a dashboard you have to interpret. A summary with the next step already filed.
“How is the new search feature performing?”
2,400 searches per day since launch. 34% return zero results. Top query: integrations. Runner created a Linear issue to add the integrations page to the search index. Fixing it is a 1-point ticket.

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Monitor releases without babysitting

Set it once. After you ship, Runner watches for the deploy, monitors error rates for the first hour, compares key conversion funnels against yesterday’s baseline, and pings the team if anything degrades.
“After we ship, keep an eye on things and let me know if anything breaks.”
Runner watches deploy plus errors plus funnels and tells you if you actually have a problem. Not just a threshold alert with no context.

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Review the roadmap with evidence

Runner pulls completed projects from Linear, checks engagement data from Mixpanel, reviews retention cohorts from PostHog, and builds the summary. Which features drove impact, which didn’t, and where to cut.
“Help me prepare for our quarterly roadmap review.”
Three features drove 80% of the engagement lift. New onboarding improved D7 retention 12%. Notifications had no measurable impact. The cuts write themselves when the data is on the page.

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A product and engineering day with Runner

TimeWhat Runner does
8:30 AMMorning brief: bugs filed overnight, sprint progress, any deploys that need watching
9:00 AMSprint planning: pulls the backlog, suggests priorities from analytics data
10:00 AMBug triage: traces a reported issue to the PR that caused it, files a P1
11:00 AMFeature impact review: pulls usage data, identifies gaps, creates tickets
1:00 PMRelease prep: checks what’s shipping, preps the release notes
3:00 PMPost-deploy: monitors error rates and funnels for the first hour
4:00 PMPosts the deploy summary to #engineering
Friday PMWeekly review: shipped items, impact data, what to prioritize next

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Prompts to try right now

“Help me plan next week’s sprint. Pull the Linear backlog, check what rolled over, and recommend priorities based on what analytics says is impacting users.”
“We’re seeing reports of [issue]. Check analytics for a drop, find the deploy that lines up, pull the diff, and file a bug in Linear.”
“How is [feature] performing? Pull usage events from Mixpanel, check for gaps, and create a ticket for anything obvious.”
“We’re shipping today. After the deploy, monitor error rates and key funnels for the first hour. If anything degrades more than 10%, create a rollback issue and ping the team.”
“Prep for our quarterly roadmap review. Pull everything we shipped this quarter from Linear, check the impact in Mixpanel and PostHog, and build a summary with recommended cuts.”
“What changed since yesterday? Check Linear for completed and blocked issues, any deploys, and anything that needs my attention before standup.”

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Automate the predictable stuff

Once you’ve tried these manually, set them to run automatically:
  • Morning standup prep at 8:30am, every weekday. What shipped, what’s blocked, what needs attention.
  • Post-deploy monitoring after every release. Error rates, funnels, and a summary to #engineering.
  • Weekly sprint review every Friday. What shipped, impact data, what to carry over.
  • Feature impact check one week after any major launch. Pull the data before the retro.
Stop context-switching between four tools to answer one question. Let Runner pull the threads together so you can focus on building. Learn how to create automations →

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What’s next?

Connect your apps

Link Linear, GitHub, and your analytics tools.

Browse workflows

See all the built-in workflows Runner ships with.