evaluative-research

What problem does it solve?

This methodology provides a structured approach to evaluate options, compare technologies, and make evidence-based decisions between alternatives.

Core Features & Use Cases

• Phase 1: Define the Decision — articulate the decision, drivers, constraints, context, and stakeholders.
• Phase 2: Landscape Scan — identify candidates, quick-filter, categorize, and select finalists (2-4) for deep evaluation.
• Phase 3: Deep Evaluation — hands-on assessment, codebase fit, effort estimates, risk assessment, and long-term trajectory; for each option document description, strengths, weaknesses, effort, and risk.
• Phase 4: Comparative Analysis — build a weighted decision matrix and articulate key trade-offs; produce a formal recommendation.
• Output: A structured investigation narrative, including a recommended path and conditions for reconsideration.

Quick Start

Provide a decision topic and 2–4 viable options to compare, and have Evaluative Research generate a structured analysis and recommendation.