mg-assess

Evaluating feature ideas requires guiding raw requests through discovery, multi-lens assessments from product and technical perspectives, and synthesis into a structured go/no-go recommendation with defined next steps.

Automating product management intake involves classifying rough or semi-structured feature requests upon entry, applying multi-lens evaluations, and capturing memory to align stakeholders on scope and risks.

Yes, assessing rough ideas works by guiding them through structured discovery and evaluation, ensuring even unstructured requests receive a formal go/no-go recommendation and defined next steps.

Aligning stakeholders on feature scope requires synthesizing evaluations from product-owner, product-manager, and CTO perspectives into a unified recommendation that highlights criteria, risks, and recommended next steps.

A go/no-go decision process is needed when early-stage product decisions require accelerating feature evaluation, ensuring consistent intake, and escalating specialized requests to align stakeholders.

Yes, during feature evaluation, mg-assess handles escalation to specialists as needed, ensuring structured outputs and memory capture while guiding discovery toward a clear go/no-go recommendation.