Forecast before spending
Model the ICP, channel, budget, perk or prize, tracking readiness, expected activation, retained builders, account opportunities, and risk range.
A serious enterprise proposal needs a serious decision loop: forecast which motion should work, run it with tracking, verify actual developer usage, then reallocate budget toward the campaigns, credits, docs, partners, and account actions that produced retained adoption.
Simulation loop
Enterprise buyers need a visible decision boundary: model the possible outcome before spend, then replace assumptions with source-labeled usage evidence after the program runs.
Model the ICP, channel, budget, perk or prize, tracking readiness, expected activation, retained builders, account opportunities, and risk range.
Use tracked docs, starter kits, perks, GitHub proof, product events, CSV/webhook/API imports, CRM context, and source-labeled campaign metadata.
Separate directional forecast from observed usage, retained cohorts, qualified accounts, product friction, and follow-up actions.
Model boundary
Forecasts are directional until the buyer connects first-party usage, spend, CRM, and retention evidence. The output should show assumptions, confidence, sensitivity drivers, and missing instrumentation instead of pretending forecasted pipeline is guaranteed revenue.
Enterprise workspace
This page explains the decision model. The working planner already lives inside the enterprise workspace where operators compare spend, inspect proof gaps, and let agents turn the scenario into action.
Use the live workspace for real decisions
AI Operators can reason over the scenario, while Campaign ROI ties the same assumptions to usage events, retained builders, account evidence, exports, and proof reports.
Value levers
These are the levers that turn developer community activity into a contract-level business case.
Measure who moved from awareness into real usage: docs starts, SDK/API activity, projects, retained sessions, and qualified proof.
Map developer intent to company domains and account fit so commercial teams can prioritize real buying committees, not anonymous traffic.
Compare events, workshops, credits, content, and launch motions by retained usage and account outcomes.
Model
Capture current developer traffic, activation rate, retained usage, spend, reporting labor, and account conversion.
Compare possible motions before spend: launch, workshop, credits, partner program, challenge, content, or account follow-up.
Tie source, cohort, product usage, retention, and company account evidence to measurable pipeline and budget impact.
Repeat, cut, or change the next motion based on verified adoption evidence, not event attendance or vanity reach.
Finance inputs
Use these in the first sales call or procurement packet. The numbers should come from the buyer whenever possible.
Paid scope is reviewed with sales and should be tied to retained developer activation, qualified account discovery, campaign waste avoided, reporting automation, and support or integration needs. There is no self-checkout.
Discuss enterprise scopeBuyer baseline
Provided
current spend, activation, retention, and reporting inputs
Forecast
Modeled
assumptions, sensitivity, and p10/p50/p90 stay labeled
Program result
Observed
usage, retention, blockers, and account evidence after the motion
Next action
Recorded
repeat, repair, stop, expand, or route with an owner
The readout should connect adoption evidence to business outcomes: activated builders, account fit, retained usage, top blockers, campaign performance, next actions, and expected pipeline influence.
Start with the free company workspace. When private evidence and governed workflows justify paid access, sales reviews the scope and provisions it manually after agreement.