Launched Features → 64% WAU Adoption: PM Launch Bullets
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Two PM AI clichés removed ('drive adoption', 'improve experience metrics'). Replaced with the feature name (scheduled-send), the cohort metric (% WAU), the time-to-adoption, and one downstream usage metric only the owner could pull.
Launched scheduled-send across the messaging product, hitting 64% WAU adoption in 6 weeks and lifting message-send-per-DAU 18%.
What changed and why
- % WAU/MAU adoption > raw user count. Recruiters know raw counts depend on top-of-funnel.
- Quote the downstream behaviour metric (send-per-DAU) — proves you tracked second-order impact, not just clicks.
- Time-to-adoption (6 weeks) is the metric that proves your launch plan worked, not just the build.
- Name the feature in product-team language ('scheduled-send'), not marketing language ('messaging productivity tools').
Recruiter perspective
“Named the feature, quoted WAU + downstream metric. This PM owned the outcome, not just the spec.”
Related rewrites
Owned Roadmap → Killed 3 Bets, Shipped 4: Product Manager Bullets
Replaced 'multiple cross-functional teams' (the laziest PM AI phrase of 2026) with budget, team count, the kill-vs-ship ratio, and one outcome from the highest-impact bet. PMs who can quote a kill-rate are senior; PMs who only quote ships are juniors.
Ran Experiments → 2.4 Wins/Mo: Growth PM Bullets
Growth PMs are graded on cadence + win-rate + compounding impact. The rewrite quotes all three. Generic AI writes 'ran experiments' and stops — junior tier.
Designed Checkout → +14% Conversion: Product Designer Bullets
Replaced two soft phrases ('user-friendly', 'collaborated closely') with the surface (checkout), the structural move (4→2 steps), and the only number a recruiter cares about (conversion lift, with sample size).