---
url: https://www.adoptionlab.ai/resources/ai-adoption-roadmap/experiment/prioritize-data-quality/
title: "Prioritize data quality | Experiment | AdoptionLab.AI"
description: "Experiment, phase 2 of the 5E Model for human-centered AI adoption. Garbage in, garbage out. Fix the inputs first."
generated: 2026-10-22T16:29:41.180Z
---[AI Adoption Roadmap](/resources/ai-adoption-roadmap) / [2. Experiment](/resources/ai-adoption-roadmap#experiment)
Phase 2: Experiment
# Prioritize data quality
Garbage in, garbage out. Fix the inputs first.
Name a data quality owner, separate from the AI Coordinator, so neither workstream gets half attention. Map what data you have, where it lives, and how key terms are defined. The same term, like "client served," often means different things in different departments.
Focus on the quality of new data going in rather than cleaning years of old records. Prevention is worth more than cleanup.
## Put it to work
- ✓Use standard entry templates.
- ✓Double-check key fields at the source.
- ✓Clean historical data only where it adds clear value.
[← Document what's already in flight](/resources/ai-adoption-roadmap/experiment/document-current-usage) [Set directional metrics →](/resources/ai-adoption-roadmap/experiment/set-directional-metrics)
More in Experiment
- [Lead from the front](/resources/ai-adoption-roadmap/experiment/lead-from-the-front)
- [Appoint an AI Coordinator](/resources/ai-adoption-roadmap/experiment/appoint-a-coordinator)
- [Document what's already in flight](/resources/ai-adoption-roadmap/experiment/document-current-usage)
- [Prioritize data quality](/resources/ai-adoption-roadmap/experiment/prioritize-data-quality)
- [Set directional metrics](/resources/ai-adoption-roadmap/experiment/set-directional-metrics)
- [Show the right numbers at the right time](/resources/ai-adoption-roadmap/experiment/right-numbers-right-time)
- [Craft your AI story](/resources/ai-adoption-roadmap/experiment/craft-your-ai-story)
- [Celebrate wins and lessons](/resources/ai-adoption-roadmap/experiment/celebrate-wins-and-lessons)
- [Check in before moving on](/resources/ai-adoption-roadmap/experiment/check-in-before-scaling)
[See all five phases →](/resources/ai-adoption-roadmap)
Go deeper in the booklet
A Leader's Roadmap to Human-Centered AI
The Experiment chapter walks through this phase with a worked example, plus the field kit: survey, rubrics, and worksheets.
[Get the booklet on Amazon →](https://www.amazon.com/dp/B0FXGN86YZ)
