Original Research · Free Download
The State of AI Product Management 2026
Data from 200+ product managers on PRD quality, AI adoption, and the gap between how PMs write specs and how engineers read them.
Report · Q2 2026 · Scriptonia Research
Key findings
34%
fewer post-launch bugs
Teams that complete all 10 PRD sections vs. teams that write informal specs
47%
of PMs skip edge cases
The most commonly omitted PRD section — correlates directly with post-launch support volume
3.2 hrs
avg. time to write a PRD
Manual PRD writing time across 200+ surveyed product managers (2026)
68%
of engineering re-requests
Traced back to missing or ambiguous acceptance criteria in the original spec
What's inside
How PMs actually spend their time (broken down by activity)
Which PRD sections are most commonly skipped — and the cost
AI adoption in PM workflows: who's using it, who isn't, and why
PRD quality scores across industries — B2B SaaS vs. consumer vs. enterprise
The 5 acceptance criteria patterns that eliminate mid-sprint clarification requests
Correlation between PRD completeness and on-time delivery
Methodology: Survey of 200+ product managers across B2B SaaS, consumer, and enterprise. Conducted Q1–Q2 2026. Full methodology available in the report appendix.