The video is a long file with knowledge trapped in the coach’s memory.
Finding a player’s snaps, comparing a position group, and preserving corrections requires repeated scrubbing and separate notes.
TEAMFEEDER PRODUCT STORY · ORGANIC SEARCH
A youth-sports film workflow built into the team operating system.
Answer high-intent questions about game video organization, player clips, scoring context, coach review, privacy, and cost.
Film Studio · searchable proof
Coach Riley turns one full game into a reviewable coaching record
Riley, an illustrative football coach, has a full-game upload and a roster. The goal is not a magical box score—it is a traceable film workflow that separates plays, preserves evidence, and lets coaches challenge the analysis.
The original film anchors a searchable play and coaching index.
AI proposes segments and observations; jersey colors, roster numbers, coach instructions, and Human Help improve context; every rerun remains attributable and billable.
Activation path
From upload to accountable review
AI assists the workflow, but visible evidence and coach judgment remain primary.
- 1Ingest
Preserve the source film
Upload a full game, multiple clips, a shared link, or live feed while retaining the original asset.
- 2Segment
Propose plays and drives
Use transitions, clocks, formation changes, and action boundaries to create reviewable virtual clips.
- 3Identify
Match roster context
Combine team jersey color and visible numbers with the event roster; label uncertain matches as uncertain.
- 4Review
Ask focused questions
Open a play, select players or positions, add Human Help, choose a model, and rerun the analysis.
Before / connected / verifiable
What changes—and what can be inspected.
| Work | Before | With TeamFeeder | Proof to review |
|---|---|---|---|
| Navigation | Scrub one long file | Drive and play index | Sortable clips with timestamps |
| Identity | Remember jersey numbers | Roster-assisted labels | Visible number, candidate name, and confidence |
| Analysis | One summary | Play and position layers | Evidence, instructions, model, and rerun history |
| Cost | Unknown AI activity | Usage ledger | Every run and rerun has attribution and cost |
Virtual clips remain attached to the source.
Drives, quarters, units, and positions can be filtered.
Roster matches include uncertainty rather than guesses.
Models, prompts, reruns, and costs are logged.
The connected workflow
The film-to-decision path
The value is the review loop between source evidence, AI assistance, and coach correction.
Start with visible evidence
Record what the camera supports before adding tactical interpretation.
Use roster and human help
Add jersey color, player number, ball location, down, distance, and assignment clues.
Turn analysis into action
Compare play, position, and player reviews and preserve coach notes beside the clip.
WHY THE SYSTEM COMPOUNDS
Film becomes reusable development evidence
Coaches can share the appropriate clip while team-level permissions keep full Video Room control with authorized roles.
Upload→Segment→Review→Coach
Privacy by design
Growth should never come at a player's expense.
- No targeting or profiling of minors
- No player health, film, address, or school-zone data in advertising AI
- No invented outcomes or hidden sponsored claims
- Paid spend and external sending remain human-approved