1 min lesson
Run it actively
In "Run it actively", give the practical answer to "What proof point do engineering leaders trust most in a Cursor evaluation?" Then name the detail that supports it.
Step 1 of 2
Run it actively
- 1Kick off with the criteria locked. Restate the success metric, the dates and who's in the trial cohort so everyone starts aligned.
- 2Check in weekly. Don't wait for the end. Surface usage data early, catch low adoption fast and remove blockers before they harden into a "didn't work" story.
- 3Use adoption data as the proof. Real usage, such as daily active devs, accepted suggestions and Agent runs, is what engineering leaders trust over any vendor benchmark.
- 4Expand the base mid-trial. If one team loves it, get a second team in before the readout. You build the expansion case while you prove the first one.
Let the data do the selling
When you tie results to usage data the buyer can check themselves, you stop being a salesperson making claims and become a partner reporting facts. Usage analytics are part of the Teams and Enterprise plans, so confirm what the buyer's plan actually shows before you promise a metric. A line like "For example, your cohort accepted 11,000 suggestions and shipped two days faster on average" is an argument the champion can repeat verbatim to the VP.