tech-sensemaking

What problem does it solve?

Rapid technology announcements often produce shallow hot takes that miss second-order effects, execution constraints, and asymmetric opportunities. This Skill helps product leaders and strategists turn an announcement into a structured, context-aware set of non-obvious insights and prioritized moves so decisions are grounded in the user's specific situation rather than generic commentary.

Core Features & Use Cases

• Announcement Intake & Summary: Accepts pasted text or a URL, scrapes or summarizes the announcement, and highlights omissions and constraints.
• Context Compression: Builds a ~300-word context block from a business, product, codebase, or personal project to ground analysis.
• Verbalized Sampling Generation: Runs four VS frames (New Outcomes, New Affordances, Relative Value, Secret Levers) with multiple stochastic samples to produce diverse, tail-oriented ideas.
• Critique-and-Improve Loop: Applies a six-dimension critique to triage, improve, or discard outputs and surfaces the top moves plus what was excluded.
• Use Cases: Product roadmap decisions after a platform change, go-to-market repositioning after a competitor feature, technical integration strategy for a codebase migration.

Quick Start

Analyze this announcement and produce a prioritized sensemaking report for our product (B2B SaaS, ~15 people) covering new outcomes, affordances, relative value, secret levers, and the top three recommended next steps.