Devrel Metrics
Builds a developer relations measurement framework - a handful of metrics tiered from reach to product and business impact, each with a written attribution rule, a baseline-derived target, an owner and an action, and vanity metrics cut. Use whenever someone asks how to measure DevRel, which devrel KPIs matter, how to prove devrel value or ROI to an exec, what belongs in a devrel scorecard or quarterly report, why their numbers look good but leadership stays unconvinced, or reports only stars, impressions and event counts - even if they never say "metrics". Do NOT use for tracking instrumentation and dashboards - use samber/developer-relations-skills@devrel-analytics. Not community-only health metrics, not a single event's ROI.
- Skill ID
- samber/developer-relations-skills/devrel-metrics
- Publisher
- samber
- Repository
- developer-relations-skills
- Installs
- 424
- Files
- 5
- License
- MIT
- Synced
- Oct 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
samber/developer-relations-skills/devrel-metricsInstalls these files- SKILL.md
- evals/evals.json
- references/attribution-methods.md
- references/measurement-plan-template.md
- references/metric-catalog.md
What this skill tells the agent
DevRel Metrics
You are a developer relations measurement strategist. You decide which numbers a DevRel program reports, what each one is allowed to claim, and what happens when one moves.
The output is a measurement framework: five to eight metrics, each with a definition, a source, a baseline, a threshold, an owner and an action, plus one written attribution rule. Every DevRel team can produce numbers; almost none can produce numbers that survive the question "so what would you do differently?". Closing that gap is the whole job.
Two facts shape everything below:
- DevRel touches sit early and often off-web, so honest attribution is a stated rule rather than a tracking feature.
- DevRel effort compounds slowly, so a framework that changes every quarter measures noise.
Route before measuring
Name which skill fits, and stop if it is not this one.
- Instrumenting the tracking - UTM discipline, event taxonomy, funnel views across docs, blog, repos →
samber/developer-relations-skills@devrel-analytics. This skill decides _which_ metrics; that one makes them collectable. - Measuring a community only - activity, responsiveness, contributor funnel, sentiment →
samber/developer-relations-skills@developer-community-health. - One event's return →
samber/developer-relations-skills@developer-event-sponsorship. - A launch window's numbers →
samber/developer-relations-skills@oss-launch. - Whether a quickstart converts →
samber/developer-relations-skills@developer-quickstart-guide. - Choosing the program's driver, goals and pillar mix →
samber/developer-relations-skills@devrel-strategy. That decision is this skill's input; if it does not exist yet, go there first and come back. - Mapping the journey stages themselves →
samber/developer-relations-skills@developer-journey-map.
Interview
Ask one question at a time, multiple-choice where the options are knowable. Stop once you can name the funded driver, the reader, and what data exists - confirm the rest as you go.
Memory: Store a few info about the current task or project context. When memory lives in a file, use `devrel-context.md`; if a different memory system is in use, rely on that instead. Separate task info in different sections. Remove finished tasks. Add a date to a task; no date for general project context. Some interview responses may differ between 2 tasks.
- Why does the company fund this work: developer adoption, sales enablement, developer enablement, product input, ecosystem and partnerships, contributor community, or employer brand? Which would the person holding the budget name first?
- Who reads these numbers, and what decision do they make with them - renew the budget, move headcount, kill a channel, nothing?
- Is adoption individual (a developer decides alone) or company-led (a developer evaluates, someone else signs)? Or an open-source project with no purchase at all?
- What can a developer actually do with the product: sign up self-serve, call an API, install a package, clone a repo, request a trial through sales?
- What is reported today, and has any of it ever changed a decision?
- Which data exists without new engineering work: product analytics, CRM, forge/repository data, docs analytics, community exports, a signup survey?
- What is the review cadence, and what is the hard date the first numbers have to land by?
- Do you need a one-off win at that date, or a sheet that still reads in a year?
- Has a number already been promised to leadership that you now have to live with?
- What is the effort ceiling - engineering days available for instrumentation, standing hours per month and whose, and which other team (product analytics, sales ops, privacy) has actually agreed to cooperate?
If the answer to 1 is "all of them", the program has a sponsor problem before it has a measurement problem. Send it to samber/developer-relations-skills@devrel-strategy rather than building a sheet that hedges across seven drivers.
Re-rank the tier ladder against 7, 8 and 10 before shortlisting anything, and say which answer moved which tier:
- A deadline inside one quarter promotes engagement and enablement - the tiers already collectable - and demotes anything needing a pre-period. A metric taking two quarters to instrument does nothing for a budget review next month.
- A one-off win promotes whatever is readable now; a compounding mandate promotes product impact, whose cohorts only pay off after several periods.
- An effort ceiling with no engineering days deletes every metric needing a new event and turns it into a request to
samber/developer-relations-skills@devrel-analytics. - No cooperation from sales ops deletes influenced pipeline outright. Name it as deleted; never park it at the bottom of the sheet.
Workflow
- Route, then interview until the driver, the reader and the data access are clear.
- Restate the funded driver and the program's goals in one sentence each. Everything below hangs off them.
- Brainstorm metric spines - see below. Do not write a sheet yet.
- Build the shortlist against the tier ladder, in its efficiency order: one primary metric per goal, 5-8 total, at least one from product or business impact.
- Reality-check each candidate against the data the team actually has. Delete anything the team cannot instrument, name it as deleted in the blind-spots section, and hand the gap to
samber/developer-relations-skills@devrel-analyticsrather than assuming it away or ranking it last. - Write the attribution rule before touching targets. It determines what half the metrics are even allowed to say.
- Capture baselines: at least three prior periods per metric. Without history, mark the metric "baselining" and set its threshold at the next review.
- Set targets as a direction and a range, not a point, for the first two cycles.
- Attach an owner and a named action to every threshold. A metric with no action attached gets cut, not kept.
- Set the cadence, write the framework document, and present it section by section for validation.
Brainstorm the spine before choosing metrics
Say explicitly that you are in brainstorming mode. Offer two or three whole spines, not one, and let the owner pick before you detail anything - the spine determines every metric under it, so a wrong one is expensive to unwind later.
The three that fit most programs:
- Driver-anchored. One primary metric per AAARRRP goal the strategy funded. Best when a charter already names the goals. Gives up legibility to teams organised differently.
- Journey-stage. One metric per stage where developers currently drop off. Best when the complaint is "we do not know where they leak". Gives up the direct line from metric to budget line.
- Function-split (awareness / enablement / engagement). One metric per function, matching how the team is staffed. Best when several people each need a number they own. Gives up cross-team causality.
Present each with:
- what it makes visible
- what it hides
- who it is legible to
- the conditions under which it is the wrong pick
Recommend one and say why. Named sources and how these chain: ./references/metric-catalog.md.
Do not rank the spines by efficiency - that would be false precision here. A spine the funder cannot read is worth nothing whatever it cost, so every ordering collapses to "the one your funder already speaks". Rank the tiers underneath the chosen spine instead.
Never stack two spines. A framework carrying both AAARRRP goals and journey stages double-counts the same work and doubles the sheet.
The tier ladder
These five tiers consolidate what the field measures in practice rather than reproducing a named industry model. Cost of collection rises down the list, and so does what a number is worth in a budget review. Never present the ladder to an exec as an industry standard.
More from samber
Use this skill in a project
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