1 min lesson
Connect the change to a downstream metric
Use two rows in "Connect the change to a downstream metric" to state the practical decision rules.
Step 1 of 2
Connect the change to a downstream metric
The strongest impact story draws a line from a specific artifact to a number that moved. You don't always get a clean line, but when you do, name it precisely.
- What you shipped
- Rewrote the SDK quickstart
- Downstream metric
- Time-to-first-agent
- The line you can draw
- Median dropped from 22 to 6 minutes the week it shipped.
- What you shipped
- Reference automation + post
- Downstream metric
- MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. adoption
- The line you can draw
- Repo clones and new MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. server setups rose in the two weeks after.
- What you shipped
- Honest teardown thread
- Downstream metric
- Qualitative trust
- The line you can draw
- Inbound from developers who said it changed their mind about trying it.
- What you shipped
- Docs-correctness audit
- Downstream metric
- Support volume
- The line you can draw
- The duplicate "why does X fail" questions in the channel went quiet.
| What you shipped | Downstream metric | The line you can draw |
|---|---|---|
| Rewrote the SDK quickstart | Time-to-first-agent | Median dropped from 22 to 6 minutes the week it shipped. |
| Reference automation + post | MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. adoption | Repo clones and new MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. server setups rose in the two weeks after. |
| Honest teardown thread | Qualitative trust | Inbound from developers who said it changed their mind about trying it. |
| Docs-correctness audit | Support volume | The duplicate "why does X fail" questions in the channel went quiet. |
Each row pairs an artifact with the nearest metric it plausibly moved.
Watch out - attribution is fuzzy, so say so
DevRel impact rarely isolates cleanly: a launch, a model upgrade and your post can all hit the same week. Claiming sole credit for a metric move you can't isolate is the kind of overclaim a truth-seeking team will catch and dock you for. Say "this contributed, alongside the launch" - the honesty reads as strength, not weakness.