Information Architect
Conduct user research specific to information-finding behavior
What You Do Today
Run tree testing, card sorting, first-click testing, and search behavior analysis to validate IA decisions
AI That Applies
AI analyzes tree testing and card sorting results, identifies patterns across participants, predicts IA effectiveness
Technologies
How It Works
The system ingests tree testing and card sorting results as its primary data source. Predictive models fit to historical outcome data identify which variables are the strongest leading indicators, then apply those weights to current inputs to generate forward-looking scores. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Research analysis is faster and more rigorous. AI identifies cross-participant patterns automatically
What Stays
Designing the right research, interpreting results in context, making IA decisions from ambiguous data
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 conduct user research specific to information-finding behavior, 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 conduct user research specific to information-finding behavior 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 conduct user research specific to information-finding behavior?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“Who on our team has the deepest experience with conduct user research specific to information-finding behavior, 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 conduct user research specific to information-finding behavior, 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.