Use small-scale learning metrics during iteration and reserve proof metrics for later stages¶
Strategy · All strategies
Evidence · no claims cited
Description¶
The article advises defining meaningful metrics: "Measuring gains in student learning can require large studies over long time periods." Instead, teams should use "learning" metrics that matter on a small scale to guide the iterative process, and "Only invest in establishing 'proof' metrics once you are confident you're on the right track." This sequences measurement investment to match the loop's decision stages.
Design Implications¶
Context¶
Requirements¶
- Interim metrics must be meaningful for the product decisions at hand rather than rigorous efficacy proof
Constraints¶
Target Learners¶
- education R&D teams
Target Learning Goals¶
- measuring learning outcomes during iterative development
Affordances¶
Related Strategies¶
- Plan and design backwards from a research-based learning goal to features, metrics, and measurement tools
- Use districtwide surveys and school-developed measures complementarily at different stages of improvement
Examples¶
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Key Sources¶
- Gartrell, J. and Johnson, E. (2026). ATS Field Note: The UX Design Loop. In ATS Hub Field Note Series. https://doi.org/10.51388/20.500.12265/299
Page metadata
| Field | Value |
|---|---|
type |
strategy |
id |
learning-metrics-small-scale-first |
title |
Use small-scale learning metrics during iteration and reserve proof metrics for later stages |
description |
The article advises defining meaningful metrics: "Measuring gains in student learning can require large studies over long time periods." Instead, teams should use "learning" metrics that matter on a small scale to gui... |
status |
review |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — gartrell-2026 |
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