Developer Relations Strategy and Metrics
Developer relations (DevRel) is the work of helping outside developers discover, learn, and succeed with a company's technical product. DevRel strategy decides which company goals that work serves, and DevRel metrics are the measures that show whether talks, docs, samples, and community programs actually move developers toward adoption.
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Don't Panic
Don't Panic: Developer Relations Strategy and Metrics
Developer relations, usually shortened to DevRel, is the team a technical company pays to make outside developers successful with its product. Its members write tutorials, ship sample code, give talks, answer forum questions, and carry complaints back to the product team. The strategy part decides which of those things to do. The metrics part tries to prove that doing them helped. The second part is where most of the trouble lives.
The trouble starts with the org chart. In the 2024 State of Developer Relations survey, about a third of DevRel teams reported to Marketing, a fifth to Product, a fifth to the CEO, and a fifth to Engineering. Each of those bosses already has favorite numbers, and none of them was designed for a team that writes docs on Monday and runs a hackathon on Friday. So the practice's own survey ranks proving impact with data as its greatest challenge.
The idea everything hangs on is a measurement chain: company goal, then a stage of the developer's journey, then an activity, then an output, then an outcome, then business impact. Outputs, such as page views and event attendance, are leading indicators: fast, and under the team's control. Business impact, such as revenue or monthly active developers, is a lagging indicator: slow, and shared with everyone else in the building.
The craft is choosing leading numbers that plausibly predict the lagging ones. Where the data cannot draw the link, dated stories of real developers have to carry it.
Several frameworks help fill in the chain. AAARRRP takes the pirate funnel (acquisition, activation, retention, referral, revenue) and adds awareness at the front and product feedback at the end. The Developer Journey splits adoption into discover, evaluate, learn, build, and scale, which describe intent rather than time.
The Orbit Model sets the funnel aside and sorts community members by love, meaning involvement, and reach, meaning influence. Members range from curious explorers to advocates who give talks about the product.
Then come the specific measures. Time to first call is the stretch from sign-up to a first successful API request, and shorter is better. Report the median, along with the developers who never got there.
A DevRel qualified lead is a useful introduction: a member with sharp feedback handed to Product, a bug-finder handed to Engineering, a likely buyer handed to Sales. It counts what the team actually controls, which is making the connection.
The surprise is how little a tagged link proves. UTM tags, the small labels appended to URLs, show which channel a visitor came through. Developers, being people, read the docs, ask a colleague, and sign up four days later from a laptop nobody tagged. A channel report is evidence, not a confession.
The same caution applies to anything cheap to count. Follower totals and badge scans are cheap to report and awkward to defend in a budget meeting. A team that answers every question with "DevRel is unmeasurable" tends to get measured on cost instead.
Read the Intro for the full chain and each framework, the Cheatsheet for definitions and decision rules, and Field Notes for where teams have come unstuck. The Exercise hands over ten synthetic developers and asks what their numbers actually prove.
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Sources
- https://www.stateofdeveloperrelations.com/2024devrelreport
Supports
- Reporting lines (Marketing 33.1, Product 21.7, CEO 20.3, Engineering 19.9, Sales 3.2 percent) and the CEO share rising from 14.1 percent
- Success metrics (active users 44.3, content engagement 37.8, revenue influenced 17.5, NPS 17.5, revenue generated 6.5 percent)
- Proving impact with data and metrics as the practice's greatest challenge (60.7 percent) and proving business impact (28.5 percent)
- Budget uncertainty (51.3 percent) and monthly collaboration with product, marketing, and engineering (85 percent)
- https://www.devrel.agency/post/developerjourney
Supports
- Discover, Evaluate, Learn, Build, and Scale stages as changes in intent, not elapsed time
- Owned and external touchpoints and friction removal
- https://www.leggetter.co.uk/aaarrrp/
Supports
- Seven AAARRRP goals and mapping company goals to DevRel activities
- Lifecycle stage guidance for early and mature products
- Nexmo activity scoring by goal weight and alignment count, 2016 to 2017
- https://www.slideshare.net/slideshow/startup-metrics-for-pirates-long-version/89026
Supports
- AARRR stages and comparative conversion measurement, with 2008 presentation versions
- https://orbit-model.joshed.io/
Supports
- Love, reach, gravity, and the Advocates, Contributors, Participants, and Explorers levels
- Funnel push versus orbit pull comparison
- https://github.com/orbit-love/orbit-model
Supports
- First use in 2014, GitHub publication in November 2019, and no active development
- https://www.marythengvall.com/blog/2019/12/14/devrel-qualified-leads-repurposing-a-common-business-metrics-to-prove-value
Supports
- DQL definition and the six receiving-team handoff examples
- DQLs as a measure DevRel controls, instead of outcomes it cannot control
- https://books.google.com/books/about/The_Business_Value_of_Developer_Relation.html?id=Sp6lwwEACAAJ
Supports
- Book by Mary Thengvall published by Apress in 2018 with interviews from DevRel programs
- https://blog.postman.com/the-most-important-api-metric-is-time-to-first-call/
Supports
- TTFC measured from a discovery point to the first API call, in small increments
- Interactive guides, public workspaces, SDKs, and clearer getting-started guides as levers
- https://techcrunch.com/2021/07/12/the-most-important-api-metric-is-time-to-first-call/
Supports
- July 2021 publication of the TTFC argument by Postman's head of developer relations
- https://chaoss.community/kb-metrics-and-metrics-models/
Supports
- Distinction between a metric that answers one question and a metrics model
- https://www.chaoss.community/kb/metric-time-to-first-response/
Supports
- Time to first response question, responder-role filter, and exclusion of bots and automated responses
- https://chaoss.community/wp-content/uploads/sites/51/2019/08/CHAOSS-Metrics-Release-201908.pdf
Supports
- CHAOSS presents metrics in a Goal-Question-Metric format, releasing metrics based on identified goals and questions
- https://www.linuxfoundation.org/blog/blog/chaoss-project-creates-tools-to-analyze-software-development-and-measure-open-source-community-health
Supports
- CHAOSS announced in September 2017 at Open Source Summit North America as a Linux Foundation project
- https://rework.withgoogle.com/en/guides/set-goals-with-okrs
Supports
- Ambitious objectives, measurable key results, 0 to 1.0 grading with a 0.6 to 0.7 sweet spot
- About three key results per objective and three to five objectives
- https://support.google.com/analytics/answer/10917952
Supports
- UTM parameters and sending source, medium, and campaign together to avoid "(not set)"
- https://github.com/npentrel/devrel-strategy-sbs
Supports
- Planning steps from organization and products through themes and event strategy to SMART goals
- https://swyx.io/measuring-devrel
Supports
- Monthly active developers as a lagging, multi-causal north star
- Qualitative link between leading and lagging indicators, and objections to UTM traffic, badge scans, and NPS
- https://caseysoftware.com/blog/developer-relations-a-painful-reckoning
Supports
- Speaking slots as a DevRel metric and their drift toward personal-brand talks
- Budget fit depends on the funding department measuring the contribution
- https://chrisreddington.com/blog/devrel-value-creation/
Supports
- Only 2 of 13 DevRel leaders could clearly link tactical activities to strategic outcomes
- https://github.com/sindresorhus/awesome
Supports
- Starting point for awesome-list discovery
- https://github.com/devrelcollective/awesome-devrel
Supports
- Discovery source for the Awesome Links entries and their list sections
- https://dev.to/postman/a-devrel-approach-to-prioritising-events-3d7m
Supports
- Data-driven event rating with customizable weights
- https://www.moesif.com/solutions/developer-relations
Supports
- Tracking sign-up to first API call and attributing DevRel activities to TTFHW
- https://www.savannahhq.com
Supports
- Community insights across multiple sources, engagement, and contribution tracking
- https://www.commonroom.io/
Supports
- Unified profiles from CRM, product usage, and community activity with identity resolution
- https://www.advocu.com/
Supports
- Developer ambassador program management and impact reporting
- https://bevy.com/
Supports
- Chapter and event program platform
- https://www.moesif.com/
Supports
- API analytics, behavioral cohorts, and developer funnel tracking
- https://www.postman.com/
Supports
- API platform with public workspaces and collections
- https://posthog.com/
Supports
- Product event analytics with a self-hosting option
- https://amplitude.com/
Supports
- Product analytics with funnels and cohorts
- https://marketingplatform.google.com/about/analytics/
Supports
- Web analytics destination for UTM-tagged traffic
- https://about.scarf.sh/
Supports
- Open source usage signals from downloads and docs linked to organizations without personal data, with free usage tracking
- https://www.hubspot.com/
Supports
- CRM system of record for marketing and sales handoffs
- https://www.salesforce.com/sales/
Supports
- CRM for sales opportunities and accounts
- https://www.slashdata.co/
Supports
- Developer surveys, population sizing, and developer program benchmarking
