Thread 6: AI Adoption KPI Pressure Fake Velocity
Platform
Link
Key Excerpt
“Everyone expects objective metrics that AI improves productivity… in context that C-suite thinks non-technical people can code production-ready solutions… PMs now expect timelines way sooner than expected.”
Why This Matches Ryva ICP
High-signal management pain: reporting pressure creates status theater, while real delivery blockers and quality costs stay implicit across teams.
Underlying Problem
Leadership decisions are driven by output optics rather than explicit ownership of quality and review burden.
Suggested Public Reply (Copy)
This is a classic fake-velocity loop: KPI pressure inflates output signals while review and quality debt stay off the dashboard. Teams need one shared view that includes rework, review load, and failed handoffs, not just generated throughput.Suggested DM Idea (Copy)
Your comment about C-suite expectations was precise. If useful, I can share a simple reporting format that surfaces hidden review/rework costs so "AI productivity" is measured on delivery quality, not output volume.