The team is not adopting new tools

Examine a real employee task: where the tool helps, where it adds work and how mistakes can be corrected. Agree on expectations and responsibility. Measure successful task completion, not only logins.

RA LAB practical guide · published 16 October 2026 · based on the library’s GRI / GTM sources.

GOAL

Find a workflow barrier and test a change with the team.

VALUABLE FINAL DELIVERABLE

A barrier map, a human-control agreement and an adoption and quality test plan.

From problem to decision

1. Observe the task

Observe a real task. Do not equate low activity with resistance.

Task, current workflow and the point of friction.

2. Agree on expectations

Clarify benefits, limitations, accountability and recovery from errors.

What does the tool do, what does the person decide, and how are errors corrected?

3. Test one change

Remove one barrier: duplicate input, unclear action or missing feedback. Set an observation period.

Change, participants without names, task-success metric and duration.

4. Compare outcomes

Compare completed tasks, quality and time. Discuss unintended consequences with the team.

What changed, what still blocks progress, and what next step was agreed?

How to judge whether it helped

You should leave with a document that supports a decision and a next action. Completing steps does not guarantee a commercial result. Measure the chosen change separately over an agreed period. If evidence is missing, state that and plan how to collect it.

How this differs from S01–S13

This is a user route for a specific problem. The GRI AI research stages S01–S13 and the 13-week programme remain in the library as separate methodological work. This route is not a validated GRI diagnostic scale.

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Next action: Observe the taskThe percentage measures completed steps, not proven business growth.

Observe the task

Observe a real task. Do not equate low activity with resistance.

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Discuss this problem ↗

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Data & privacy

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Sources and supporting materials

Methodological references. Links lead to original materials; worksheet examples are not research findings.

Guidelines for Human–AI Interaction ↗Amershi et al. / Microsoft Research · 18 interaction guidelines covering expectations, explanations, correction, feedback and control.People + AI Guidebook ↗Google PAIR · Actionable patterns for user needs, mental models, explainability, feedback and graceful failure.Human-Centered AI ↗Ben Shneiderman · A model for combining high automation with high levels of meaningful human control.Open the full source catalog →