Note: Productboard Spark is currently in open beta and available to all customers. The beta is a standalone experience that doesn't integrate with existing Productboard workspaces.
If you're on an Enterprise plan and workspace integration is important to you, contact your Productboard representative to discuss options. Otherwise, you can join the Spark beta here.
Shipping a feature doesn't tell you whether it worked. Spark's post-launch evaluation skill guides you through a structured impact review that combines your original goals, analytics data, and customer feedback to produce a verdict and a recommended next action.
In this article:
- What post-launch evaluation does
- Before you begin
- Running a post-launch evaluation
- Connecting an analytics tool
- See also
What post-launch evaluation does
The post-launch evaluation skill guides you through a structured review of a shipped initiative or feature. Spark reads your entity details, spec, and original goals, then compares them against post-launch analytics and customer feedback to produce an evaluation document.
At the end of the flow, Spark creates the document in your personal section and links it to the evaluated entity. The document includes:
- An executive summary with an impact rating and confidence level.
- A breakdown of target outcomes vs. actual performance.
- Analytics highlights showing weekly metric trends and segment breakdowns.
- Feedback highlights comparing pre-launch and post-launch customer signals.
- Recommendations and a suggested next action.
Spark assigns one of four impact ratings:
Before you begin
To run a post-launch evaluation, you need:
- A Productboard space with Spark enabled.
- A shipped (or recently shipped) initiative or feature.
- Success metrics defined in the initiative or feature's spec, if available. Spark measures performance against these original targets.
- (Optional) An analytics integration like Amplitude, Pendo, or Hex. See Connecting an analytics tool below.
Running a post-launch evaluation
Once you have all you need, you can trigger the post-launch evaluation skill in any of these ways:
- Type /post-launch-evaluation in any Spark chat.
- Click the skill on Spark Home.
- Select it from the Skills page.
Once the skill is triggered, it will walk you through the rest of the process, and might ask you a few clarifying questions as it goes.
When the skill is finished, it will present you with an evaluation document. You may continue to edit this document with or without Spark's help.
Connecting an analytics tool
Spark supports several analytics tools like Amplitude, Pendo, and Hex via MCP. Connecting one of these tools lets Spark query your analytics data directly instead of relying on manual input.
To learn how to connect an analytics tool, see Connect external tools to Productboard Spark.
Once your analytics tool is connected, return to Spark and run /post-launch-evaluation. Spark detects the connected integration and queries it automatically.
Note: If you don't use Amplitude, Pendo, or Hex, you can still complete an evaluation by providing data manually via CSV upload or a link to an exported report.