spike

A technical spike conducts focused, evidence-based research to answer a single question. It mobilizes relevant personas to synthesize benchmarks, docs, and proofs of concept into structured findings, risks, and follow-up recommendations.

Evidence-based risk analysis evaluates technical decisions using empirical data from benchmarks, documentation, and proofs of concept. It generates structured risk assessments, alternatives, and practical recommendations within a product engineering context.

Scope a technical investigation by posing a single question with defined context and constraints. This triggers targeted persona spawning to synthesize evidence from benchmarks and proofs of concept without expanding the research boundaries.

Yes, targeted personas evaluate technical alternatives and risks by focusing on specific aspects of the question. This approach mobilizes relevant perspectives to synthesize evidence from benchmarks and proofs of concept into decision-making recommendations.

A spike report should include clear findings, risk assessments, evaluated alternatives, and a recommended follow-up plan. These results are grounded in empirical evidence from benchmarks, documentation, and proofs of concept.

You need a proof of concept for technical decision-making when empirical evidence is required to validate a proposed approach. It grounds the investigation's findings, risk analysis, and recommendations in verifiable data rather than assumptions.