spec-first:research

Technical research for technology selection involves systematically gathering information to compare alternatives based on cost, risk, maturity, and ecosystem, providing evidence-backed conclusions for architectural decisions.

Evaluating third-party services requires assessing suitability by comparing platforms against predefined criteria like cost and maturity, using a structured checklist to ensure research quality and evidence-backed recommendations.

Evidence-based technical evaluation works by enforcing a strict evidence protocol that systematically gathers information, comparing frameworks on cost, performance, maturity, and ecosystem to provide a recommended choice.

Yes, you can use structured research to assess architectural design trade-offs by analyzing different architectural approaches and comparing alternatives to provide evidence-backed conclusions for your decision making.

Automating cloud service assessment relies on enforcing a strict evidence protocol and structured checklist, meaning research quality depends entirely on the availability of gathered information to compare alternatives and provide evidence-backed conclusions.

Yes, you need predefined criteria to compare different database options, allowing the structured research process to evaluate alternatives like PostgreSQL and MongoDB based on cost, performance, maturity, and ecosystem for a recommended choice.