GlassWatch · dashboardyour content — live · comprehension & engagement
publisher · Meridian connecting… Player →Glass overview → Operational dashboard

All your video content, monitored live — completion, comprehension, and where viewers get stuck. Click any row to drill in.

Videos
Watching now
Avg completion
Languages served
Drop-off alerts

Libraryclick a column header to sort · click a row to drill in

Every video you publish, at a glance. Watching now and Comprehension are derived operational reads; completion & cohorts come from the GlassWatch loop.

Video Watching now Completion Comprehension Mean watch Biggest drop-off Top cohorts GlassWatch
How to read it: a live row is streaming real viewer data right now; rows are off or sampled. "Comprehension" blends mean watch %, completion, and how often viewers rewind — a quick read on whether the piece lands.

Comprehension graph — Read + Watch ● sample GlassWrite →

The same concepts your audience meets twice — tapped in articles, watched on video — fused into one cross-surface map. Sorted by surface gap (where a concept lands on one surface but not the other) — the most actionable first.

Concepts
Surface gaps > 0.2
Top cohort languages
Sort Surface gap Engagement
Kind All term entity topic concept
How to read it: the read bar is a relative struggle measure (inverse of how often readers tap a concept to look it up) — not an absolute score; the watch bar is video completion. A wide gap points to the weaker surface; both weak = a coverage gap; both strong = well understood.

Watching now
Sessions
Completion
Mean watch
Track adoption

Drop-off & rewind heatmap● live

Where viewers rewind or leave, by 30-second bucket — from the GlassWatch loop. The hottest spot flags a likely confusing moment.

Rewinds + drop-offs · by 30s bucket

Language cohorts● live

Sessions and completion per language track — who's watching and who finishes.

By comprehension / subtitle language

Comprehension signalsderived read

The operational takeaway — what the rewind and look-up patterns are telling your team.

What the signal is saying