Director of Design
Run design critique session
What You Do Today
Facilitate structured critique of in-progress work. Give constructive feedback that pushes designers toward better solutions without dictating the answer.
AI That Applies
AI design evaluation — tools that assess designs against accessibility standards, brand guidelines, and usability heuristics before the critique session.
Technologies
How It Works
For run design critique session, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
The basics are covered before critique starts — contrast ratios pass, touch targets are sized correctly, copy is readable. Critique focuses on strategy and storytelling instead of catching WCAG errors.
What Stays
The craft of giving and receiving feedback, developing design taste, and pushing creative boundaries — that's entirely human.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for run design critique session, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long run design critique session takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your VP Operations or COO
“What data do we already have that could improve how we handle run design critique session?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“Who on our team has the deepest experience with run design critique session, and what tools are they already using?”
They understand the workflow dependencies that AI tools need to respect
a frontline supervisor
“If we brought in AI tools for run design critique session, what would we measure before and after to know it actually helped?”
They see the daily reality that AI tools need to fit into
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.