Design Researcher
Plan and conduct user interviews
What You Do Today
Write discussion guides, recruit participants, conduct 45-minute sessions, take notes, probe on unexpected insights
AI That Applies
AI generates discussion guide drafts from research questions, transcribes sessions in real time, flags key moments
Technologies
How It Works
The system ingests research questions as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — discussion guide drafts from research questions — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Discussion guide drafting and transcription are automated. You're fully present in the conversation instead of note-taking
What Stays
Building rapport, knowing when to go off-script, reading body language, the empathy that makes people open up
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 plan and conduct user interviews, 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 plan and conduct user interviews 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's the current accuracy of our forecasting, and how would we know if an AI model is actually better?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“Which historical data do we have that's clean enough to train a prediction model on?”
They understand the workflow dependencies that AI tools need to respect
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.