What problem does it solve?
PESTEL analyses typically become stale workshop artifacts that teams never revisit, leaving strategies silently dependent on outdated macro assumptions. This Skill turns PESTEL into a living radar by re-scanning a prior analysis on a quarterly cadence and reporting only what materially moved.
Core Features & Use Cases
- Factor-by-Factor Diffing: Compares each Political, Economic, Social, Technological, Environmental, and Legal factor against the prior baseline, reporting movement only when regulation passes, thresholds are crossed, or technology matures.
- Broken Assumption Detection: Surfaces baseline entries now contradicted by evidence, since strategy was built on them, and flags never-moving entries as furniture for retirement.
- Structured Delta Report: Emits a fixed schema with run header, per-factor deltas, broken assumptions, new-to-frame factors, and strategy implications with Fact/Inference labels and citations.
- Use Case: A product manager pastes last quarter's PESTEL for an EU payments product and suspects a new AI liability directive matters; the Skill checks the suspected event first, diffs all six factors, and returns a half-page report naming which assumptions broke and what to watch next cycle.
Quick Start
Run a PESTEL delta against my attached Q1 analysis for our EU payments product, and check whether the new AI liability directive changes anything.
