20. Lms Pulse — LMS Pulse (light, learning-analytics teal)

Audience: L&D teams with LMS reporting duty · Artifacts: pulse.html (2D) · 3d.html + pulse.js (3D funnels) · shared data pulse-data.js · Case study: index.html

In one line: a learning-analytics drill: three cohorts, one 'this training is useless' manager. Sort the numbers into exposure, persistence and learning, name each cohort's story, then prescribe.

Why this kit exists

Dashboards flatten learning into exposure metrics, and teams intervene on whatever is loudest. The three cohorts are built as one grammar with three diseases: great optics with negative learning (A), great learning with broken logistics (B), and perfect compliance optics hiding near-zero learning (C) — the same dashboard, three different prescriptions.

What the artifact does

Each cohort shows completion and satisfaction (exposure), who is still enrolled week by week (persistence), the post-test delta against the pre-test (learning) and a top comment. Step 1: choose one of four stories (learning, persistence, measurement, healthy). Step 2 unlocks after the diagnosis: pick 2 of 6 interventions. Max 12, pass 10 with all three diagnoses right. The 3D version shows each cohort as a funnel: leaks are persistence, the beaker level is learning, and interventions are pinned where they act.

The design decisions worth noticing

• Diagnose-before-prescribe, enforced in the UI — interventions stay locked until the signal is named; the sequence IS the skill being trained
• The flattering green dashboard (Cohort C) — the most dangerous noise is the kind that certifies a non-result; 97% completion at +1 learning is the designed lesson
• Symmetric wrong answers — every intervention is someone's real habit, which is why they make honest distractors

Honest limitations

Meridiaan College and its dashboards are fictional composites. Real L2 instruments need validity work before any of these prescriptions; the drill trains the reading order, not the statistics.

Part of I Wayan Usada's learning-design portfolio · all clients and scenarios are fictional composites built from realistic domain patterns · drafted with AI assistance and fully rewritten, fact-checked and owned by a human.

Process deliverables

• action-map.md — Action map — the behaviors the artifact must produce, traced to the business goal
• storyboard.md — Text-based storyboard — the scene plan written before build
• visual-mockups.md — Visual mockups & style guide — mood, type, key screens, component decisions