Release impact review board for post launch product checks
See every recent release next to the numbers that actually moved, decide whether it worked, and keep the verdicts your team keeps forgetting to write down.
Build me a release impact review board where my product team runs the post launch check we currently do from memory. The point of the app is to judge whether a release worked and to record that judgement somewhere it survives until the next review.
The main view is a board of recent releases. Pull them from GitHub with List Releases for the repositories I configure, showing the release name, tag, and publish date. Alongside each release, show whether a marker already exists in Amplitude for it, read with List Chart Annotations and matched to the release by date and name. Make a missing marker visible on the row, because a release nobody annotated is usually a release nobody reviewed.
Sort the board so that releases which shipped in the last 14 days and have no verdict recorded yet sit at the top, in their own clearly labelled group. Those are exactly the ones the team forgets to look at. Everything else follows in reverse chronological order, showing its recorded verdict.
Give me a window toggle at the board level that switches between 7 and 14 days and applies to every comparison in the app. Seven days is the quick check right after launch, 14 is the fuller read a week later, and I want to flip between them without leaving the page.
Be careful about how much analytics work happens on first paint. Amplitude's dashboard queries are cost limited, roughly 360 concurrent and 1,080 per hour, with longer ranges costing more, so do not run every funnel and retention query for every release when the board loads. Fetch one cheap summary metric per release row, and defer the funnel and retention work until I open a release. Cache what has been fetched so flipping the window or reopening a release does not re-run everything.
Clicking a release opens a detail view, which is where the real work happens. For the selected window W of 7 or 14 days and a release that shipped on day D, the before period is the W days ending the day before D, and the after period is the W days starting at D, truncated at today if the release is too recent. Every metric must render as a before value, an after value, and the delta between them. Never show a single post launch number on its own, because without the baseline there is no way to attribute a change to the release.
The metrics in the detail view come from Amplitude. Use Get Active or New Users for the top line audience numbers, Get Event Segmentation Data for each of the key events I configure, Get Funnel Analysis Data for the activation funnel including its overall conversion rate and the per step drop off, and Get User Retention Analysis for retention after the release compared with retention before it. Run each of these once for the before period and once for the after period.
Below the metric table, show the events that moved most: rank my key events by the size of their change between the before and after periods, showing gainers and decliners separately so a regression is not buried under a list of things that went up. Mark clearly when the after window is still incomplete, so nobody reads a two day old release as a finished result.
In the detail view I record a verdict for the release: Working, Watching, or Regressed, along with free text notes. Persist the verdict and notes per release, with who recorded it and when, and show them on the board row and at the top of the detail view. This is the part that makes the ritual repeatable, so the next review starts where the last one ended rather than from scratch. Let me change a verdict later, since a Watching often becomes a Working or a Regressed once more data arrives.
From the detail view, if the release has no marker in Amplitude, let me backfill it with Create Chart Annotation and Create Release so the charts stay annotated for everyone looking at them, not just for me. Prefill the date and the release name from the GitHub release and let me edit before saving. Once it is saved, the board row should stop showing the release as missing a marker.
When I mark a release as Regressed, offer to file a Linear issue with Create Issue, prefilled with the release name in the title and a description listing the metrics that dropped with their before value, after value, and delta, plus my notes. Let me choose the team and edit the draft before it is submitted, and never create the issue automatically. After it is filed, show the link to the issue on the release so the review board points at the follow up work.
One implementation detail that will bite otherwise: Amplitude's dashboard queries take dates as YYYYMMDD with no separators, while annotations and releases use ISO 8601 or YYYY-MM-DD. These two formats must not be mixed. Build the date range once per period and convert at the point of each call.
Note for context: annotation backfill is a secondary action here, not the point of the app. There is a separate automation that marks releases on Amplitude charts as they are published, and this board is the review surface that comes after it, for the launches that already shipped.
What does this prompt do?
- Lists your recent releases on one board, each paired with the marker already sitting on your analytics charts, so you can see at a glance which launches were never annotated.
- Shows what moved for each release as a before value, an after value, and the change between them, measured against the days right before it shipped instead of a single number after launch.
- Lets you switch the comparison window between 7 and 14 days so you can run the quick check first and the fuller one a week later.
- Records a verdict of Working, Watching, or Regressed with notes that stick, so the next review starts where the last one ended instead of from memory.
- Floats releases from the last two weeks that nobody has judged yet to the top of the board, since those are the ones teams forget to look at.
What do I need to use this?
- An Amplitude account with Manager or Admin access, which is what allows reading your project's numbers and adding markers to charts
- A GitHub account with access to the repository where you publish releases
- A Linear workspace, if you want to file follow-up issues when a release regresses
- The events and activation funnel steps your team already tracks and treats as key metrics
How can I customize it?
- Change the comparison windows from 7 and 14 days to whatever matches your release cadence
- Pick which events count as your key metrics and which steps make up the activation funnel
- Adjust the verdict labels, or change what qualifies a release as still needing review at the top of the board
- Point the board at more than one repository if your team ships from several
FAQs
Do I need to have marked my releases on my charts already?
What happens if a release shipped only two days ago?
Why does it show a before number instead of just the numbers since launch?
Does opening the board change anything in my analytics account?
Does it file a ticket every time a metric drops?
Can this replace the automation that marks releases on charts as they ship?
Related templates
Open one board each morning, see which voice calls went badly, replay the exact moment the caller got frustrated, and file the fix.
See every customer waiting on a bug fix, file the ticket without creating a duplicate, and tell them the moment engineering ships it.
See every recent deploy across all your Heroku apps in one timeline, then roll back, restart, or file an incident without leaving the screen.
Pick a date range, see which support topics are climbing fastest, read the real customer threads behind them, and file the worst ones as tickets.
See every Hacker News story and comment that mentions your product or your competitors, mark each one new, needs reply or handled, and stop losing threads.
Every tool you run or are weighing up, with the Hacker News threads that actually mattered, project health beside them, and a written verdict you keep.
Stop running the post launch check from memory.
Give your product team one board where every recent release sits next to the numbers that moved and the verdict someone actually recorded.