AI INNOVATION EVALUATOR

A tool for structured evaluation and prioritization of innovation initiatives, combining defined criteria with AI-assisted analysis and transparent outputs.

Prioritizing innovation initiatives is a complex decision. AI analysis can help, but only if its reasoning is visible and people remain accountable for the final call.

To completeDescribe Andrea's individual contribution to this project.

To completeAdd documented research, problem framing, stakeholder needs and assumptions.

To completeShow how ideas were explored, compared and refined — sketches, flows, iterations.

To completeList the important UX and product decisions and the reasoning behind each.

AI accelerated exploration, prototyping and iteration. Problem framing, quality review, validation and final decisions remained human responsibilities.

To completeSpecify which tools were used, for which steps, and how outputs were reviewed.

To completeAdd actual testing, feedback or validation evidence, if available.

To completeAdd verified outcomes, known limitations and lessons learned.