How to Use Data to Improve ID Infographic

Set the Brief

How to Use Data to Improve Instructional Design

Lay Out the Tools

Final Thoughts

Call to Action

Critique the Draft

5 Steps to Data-Driven Design Decisions

Real-Life Example

Iterate the Mockup

Exhibit the Work

Real-Life Example

Onboarding module: split one 9-minute video in to three 3-minute clips, added a worked example, rewrite a confusing distractor. Results snapshot: Completion went up, item accuracy went up, time-to-first resolution went down (e.g., 7.4 vs. 9.6 days).

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Critique the Draft

Run Pattern, Probe, then Propose. Spot a trend, validate with qualitative checks, then target the root cause. Quick scan: funnel, click heatmap, and score distribution.

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Iterate the Mockup

Ship small edits and run an A-B (split) test on one variable. Pilot with a small cohort and set rollback rules. Log it: What changed, why, expected impact, owner, and date.

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Set the Brief

Define the outcome, your Minimum Success Criteria, and a Stretch Goal. Why it matters: Goals turn data into decisions.

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Final Thoughts

Small, respectful changes beat big overhauls. Measure what matters. Remember, behind every data point is a learner. Quote: "In God we trust; all others must bring data." — W. Edwards Deming

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Exhibit the Work

Share a 1-page Learning Brief, host a 20-minute Evidence Roundup, and check equity by cohort/role/device. Goal: Make improvement a team habit.

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Lay Out the Tools

Capture Learning Management System (LMS) events, Experience API (xAPI) events, quick surveys, and short interviews. Explain what you collect and why. Tip: Keep a simple data dictionary (metric, source, cadance, and owner).

Call to Action

Pick one course, choose two metrics, run one small experiment this week, and record it in your Design Change Log. Share back: Send me your mini-case for a future episode mention.

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