# media-use usage dashboard Reproducible definition of the media-use usage dashboard. The dashboard answers "how much is media-use used, for what, is reuse working, and what can't it satisfy" from the telemetry `scripts/lib/telemetry.mjs` already emits. Build it in an authorized HyperFrames analytics project; this doc is the source of truth so it can be recreated. Local complement: `resolve --stats` (same questions, from `.media/` + `~/.media`, no dashboard access needed). ## Identity (see `scripts/lib/telemetry.mjs`) Events attribute to the **same person as the hyperframes CLI and studio** — the shared install id in `~/.hyperframes/config.json` (`anonymousId`), stitched to the HeyGen account (`$identify`, `distinct_id` = email/username) on sign-in. Not fully anonymous by design; pseudonymous before sign-in, account-linked after. `$ip:null`. Opt-out: `HYPERFRAMES_NO_TELEMETRY=1` / `DO_NOT_TRACK=1` (also CI, dev). ## Event catalog (verified present in-project) Every event carries `surface: "media-use"`. Event **properties are coarse** — never intent text, file names, or paths. | Event | Fires on | Key properties | | ---------------------------------------------------------------------- | ----------------------------------------- | ---------------------------------------------------------------------- | | `media_use_resolve` | a resolve that produced/returned an asset | `type`, `source`, `provider`, `via`, `local_only`, `provider_override` | | `media_use_resolve_miss` | a resolve that found nothing | `type`, `local_only`, `provider_override` (no intent) | | `media_use_candidates` | `--candidates` / `--dry-run` listing | `type`, counts | | `media_use_doctor_run` | `--doctor` | `ok`, `checks_failed`, `failed[]` | | `media_use_compare` | `grade-compare` / `compare` | `command`, `cells`, `truncated`, `total`, `render_ready_timed_out` | | `media_use_transcribe` · `media_use_duck` · `media_use_transcript_cut` | audio-engine ops | op-specific | ## Dashboard tiles 1. **Invocation volume** — `query-trends`, count of `media_use_resolve` over time (daily). "How much." 2. **By media type** — `media_use_resolve` broken down by `type` (bgm/sfx/image/icon/logo/voice/grade/lut). "For what." 3. **Resolve hit-rate** — trends formula: `A / (A + B)` where A = `media_use_resolve`, B = `media_use_resolve_miss`. "Is the catalog covering needs." 4. **Provider mix** — `media_use_resolve` broken down by `provider`; a second tile by `via` (`url` / `params-fallback` / `params`) to catch CDN→params LUT downgrades. 5. **Top misses** — `media_use_resolve_miss` broken down by `type` (the tuning signal — pair with local `resolve --stats`, which also shows the missed _intents_ that telemetry deliberately omits). 6. **Doctor health** — `media_use_doctor_run` broken down by `failed[]` (which dependency check fails most) + `checks_failed` distribution. 7. **Compare cost** — `media_use_compare` by `command`, plus `truncated` / `render_ready_timed_out` rates (observe before lifting the 16-cell cap). 8. **Adoption (optional)** — if the `first_run` property ships (plan U5), segment `media_use_resolve` first-run vs repeat. ## Recreate in an analytics dashboard For each tile, confirm the event/property schema, build its trend or breakdown, then add it to a dashboard. Keep names prefixed `media-use:` so the dashboard is greppable. Cross-surface note: because identity is shared with CLI/studio, you can also break these down by the same person across `cli_command*` and `studio:*` events.