This fishbone-diagram prompt forces AI to check 6 cause categories before diagnosing
alex_verem · x · 2026-09-12
A shareable prompt applies Ishikawa's 1960s fishbone root-cause framework to AI chat: before proposing any fix, the model must map 2-3 possible causes across six branches (People, Process, Tools, Materials, Measurement, Environment), identify the most likely root cause with reasoning, and suggest one targeted fix. The author argues this prevents AI from jumping to the first plausible answer, and it works for business, product, hiring, or ops problems.
More from Apps
- Perplexity launches Hybrid Compute to split AI tasks between cloud and local Mac — Aiden_Tech_Ai · 2026-09-14
- He screenshotted a tweet and had Muse build a kids' bank with 3% weekly interest — armand_ruiz · 2026-09-14
- Open-source cloud-native GIS platform GeoLibre ships v3.0 with Cesium 3D as core engine — giswqs · 2026-09-14
- He built a VLM-powered physical therapy analyzer — and it matched his doctor's diagnosis — TheMoonMidas · 2026-09-14
- Muse Spark 1.3 wins fans: browser agent files insurance claims faster than humans — alexandr_wang · 2026-09-14
- Alexandr Wang touts Muse's onboarding design for non-AI-savvy users — alexandr_wang · 2026-09-14