AYO

A product vision for turning match footage into game stories and highlights players can shape and share.

2026

The return: the story is readable while the video is still rendering.
Role
Senior Product Designer
Scope
Post-match story, recommended moments and highlight clips
Outcome
A product direction for connecting match footage, game stories and player-controlled highlights within Ayo
Status
Product vision

The challenge

Recording a match does not automatically give a player something worth coming back for. Ayo could receive footage from uploads or Smart Cameras; the next product question was how to turn a full session into personally meaningful moments, not another long video to search.

As Senior Product Designer, I shaped a post-match product vision connecting footage, a readable game story, recommended moments and highlights the player could choose to keep or share.

What made it hard

  • The game was fresh before attention returned. Players could still be recovering, talking with teammates or leaving the venue while processing continued. Immediate availability was not the same as readiness to watch.
  • A useful moment was wider than a goal. Contributions, build-up play and shared reactions could matter too. The research did not establish a defensible ranking of what every player values.
  • Automation needed a boundary. Ayo could narrow choices, but the player should decide what felt relevant. Recognition also had to stay within what the footage could support.

Post-match Behaviour Map

Emotional chargeAttention on the phone
Very highLowMatch ends
High and socialLow to mediumPost-game social
CalmingOften lowDecompress
CalmerHighAttention returns
ReflectiveHighRevisit or share

The game is freshest while the phone is furthest away. Hover a phase to read what the player is doing.

The peak and the opening are not the same moment: Ayo waits for the second rise rather than the first.

What I did

I used capture behaviours, the post-match attention map and a wider landscape of shareable moments to frame the product decisions. The maps were design lenses and working hypotheses, not a claim that every behaviour had been validated.

The direction became three rules: recommend a starting point without closing off the session, bring people back around their attention, and make interpretation proportional to the evidence. A game story could be readable while the full video was still being prepared.

A recommended moment playing full screen with three of the player's statistics over it.Starts on one moment
The moment list, split into moments by Ayo and the player's own personal footage.The rest stays reachable
The same moment with the share sheet open on Instagram, TikTok, save and copy link.The player decides what leaves
The Ayo home screen with a MatchCam card reading a bit of a Raumdeuter tonight.Home carries the result
A lockscreen with two Ayo notifications, one saying the video analysis is ready.Notifications do the returning
The game story with a notify-me toggle while the video is still generating.Readable before it is ready
A moment with three observed statistics: accurate long ball, accurate passes, passes into the final third.A moment, observed
The contributions view listing six labelled play types with counts.Context, counted
The game story naming a recognition drawn from the whole session.Recognition, earned

I then worked through where the result should live in Ayo. A contextual Home card could surface a recent match; notifications could provide re-entry; MatchCam Hub could support intentional revisiting as sessions accumulated.

A permanent Home shortcut was a future IA hypothesis, not a V1 requirement. Its prominence should follow recurring behaviour rather than assuming a new feature immediately deserved a permanent destination.

The Ayo home screen with three shortcuts for Activities, Venues and Scores, and no MatchCam.Recent
The same home screen with a contextual MatchCam card sitting under the three shortcuts.As sessions accumulate
The same home screen with MatchCam promoted to a fourth permanent shortcut beside Activities, Venues and Scores.Recurring behaviour validated
Three stages of one shortcut: the card earns its place on Home before it gets one.

What changed

The work established a product direction for connecting match footage, game stories and player-controlled highlights within Ayo. The model stays consistent—find a moment, add useful context, then recognise a broader pattern only when there is enough evidence.

I explored how that structure could extend across Mini Soccer, basketball and tennis without treating their events or language as interchangeable. The proposed stories adapt to movement, possession or rally construction while preserving the same path back into the game.

The Ayo home screen with a MatchCam card reading a bit of a Raumdeuter tonight.Mini Soccer
The same card reading you are floor general mode tonight.Basketball
The same card reading your counterpuncher side showed up.Tennis
Movement and space
Possession and positioning
Rally construction

This is a product vision, not a launched retention result. Research was stronger for Mini Soccer than for basketball; cross-sport behaviour and the permanent shortcut remain hypotheses to validate.

Read the full case study

Context

The experience uses the footage Ayo already expects from either uploaded video or Ayo Smart Cameras, but changes what happens after that footage becomes available: when the player is brought back, what gets surfaced first, and how much the system should decide on their behalf.

A recommended moment playing full screen with the assist and accurate-pass figures over it.A moment, recommended
The moment list, split into moments by Ayo and the player's own personal footage.The rest of the session
The contributions view with six labelled play types: assists, chances created, key passes, final-third passes, space entries and key zone.What you contributed
The share sheet offering Instagram Story, Instagram Messages, TikTok, save and copy link.Out to the group
MatchCam, end to end: a recommended moment opens first, the rest of the session sits one tap away, and sharing is the last step rather than the first.

Understanding how footage finds its way back to the player

Automated capture reduces the effort required to record a game, but recording is only one part of the journey.

Looking across common capture behaviours showed different trade-offs around coverage, handoff, timing, and effort. A personal phone gives the player more control but limited coverage. Photographer-led capture can be more curated, but delivery remains separate from the game itself. Automated venue capture can cover much more of the session, which creates a different problem: once all that footage exists, how does the right part of it get back to the right player?

Sports Capture Behaviour

  • Coverage
  • Quality
  • Footage exists
  • Handoff today

Own phone

  • Random
  • Inconsistent
  • Immediate
  • Chat, AirDrop

Tripod

  • Wide, passive
  • Medium
  • Immediate
  • Camera roll

Photographer

  • Curated
  • High
  • Later
  • Drive link, DM

Venue camera

  • Full match
  • Consistent
  • During or after
  • QR, venue system

Hover a capture source to see what it costs.

Recording is the easy half: coverage improves as you read across and handoff gets worse, which is where the design problem actually sits.

The research supports multiple capture patterns in Indonesian amateur sports, including friends, phones or tripods, paid documentation, and automated recording. The evidence around exactly where users experience the most friction is weaker, so I used the artifact to understand the system around capture rather than claim one universal pain point.

Understanding when the player is ready to return to the game

Availability alone does not determine when footage becomes useful.

Immediately after a match, the game may still be emotionally fresh while the player’s attention is elsewhere: recovering, talking with teammates, packing up, or leaving the venue. The Post-match Behaviour Map was used to explore the gap between those two moments.

Post-match Behaviour Map

Emotional chargeAttention on the phone
Very highLowMatch ends
High and socialLow to mediumPost-game social
CalmingOften lowDecompress
CalmerHighAttention returns
ReflectiveHighRevisit or share

The game is freshest while the phone is furthest away. Hover a phase to read what the player is doing.

The peak and the opening are not the same moment: Ayo waits for the second rise rather than the first.

The map led to two working hypotheses:

That changes the waiting problem. Instead of asking only how to keep someone engaged while processing is happening, the more useful question became: when does the player regain attention for the game through their phone?

Processing can therefore continue in the background. Ayo only needs to remain legible while the result is being prepared, then re-enter the player’s attention when there is something useful to return to.

Expanding what a highlight can mean before narrowing the problem

Full-session coverage creates more candidate moments. Before deciding what AI should surface, the definition of a useful moment needed to be broader than scoring events alone.

The Shareable Moment Landscape was used as a design lens for that question.

Shareable Moment Landscape

Outcome

  • Basketball3-pointer, game winner, block at the buzzer
  • Mini SoccerGoal, penalty save
  • TennisAce, passing-shot winner

Contribution

  • BasketballAssist, steal, rebound, screen, defensive stop
  • Mini SoccerAssist, interception, key save
  • TennisA difficult return that creates the next attack

Build-up

  • BasketballCreating space, off-ball movement, the pass before the assist
  • Mini SoccerThrough pass, creating space, build-up play
  • TennisConstructing the point with placement before the winner

Personal

  • BasketballLooking good on a drive, a clean move, first basket, a good matchup
  • Mini SoccerDribble, nutmeg, skill move
  • TennisSmooth serve, impressive recovery

Social and emotional

  • BasketballCelebration, funny fail, teammate interaction, group moment
  • Mini SoccerTeam celebration, banter, group moment
  • TennisReaction after a long rally, celebration

Hover a moment type to see why it is worth revisiting.

A highlight is wider than a scoreline: this is a design lens, not a validated ranking. The research does not say which column players value most.

Outcome, Contribution, Build-up, Personal, and Social / Emotional moments represent different reasons why part of a game might be worth revisiting. A goal or winning point has obvious game significance. An assist, recovery, movement that creates space, a clean personal play, or a shared reaction can carry a different kind of relevance.

This is not intended as a validated taxonomy of user preferences. The research does not provide a defensible distribution of which moment types players value most.

It also helped separate worth seeing from worth sharing. Public social posts are visible in the research, but private circulation and simply keeping footage also matter, and the research does not establish the split between them.

Three decisions the experience needed to resolve

Putting the three artifacts together narrowed the problem into three product decisions.

More coverage Which moments actually matter?

Full-session capture makes more candidates than anyone will watch, so the product narrows the session instead of replaying it.

More automation What still belongs to the player?

The system detects, clusters and suggests. The player is the one who decides what was personally relevant.

More evidence How far should Ayo read the game?

A visible event supports a moment, surrounding play adds context, and the reading stops where the footage stops.

Principles carried into the design

Those decisions became three rules for how the experience should behave now and as it expands.

A recommended moment playing full screen with three of the player's statistics over it.Starts on one moment
The moment list, split into moments by Ayo and the player's own personal footage.The rest stays reachable
The same moment with the share sheet open on Instagram, TikTok, save and copy link.The player decides what leaves
The Ayo home screen with a MatchCam card reading a bit of a Raumdeuter tonight.Home carries the result
A lockscreen with two Ayo notifications, one saying the video analysis is ready.Notifications do the returning
The game story with a notify-me toggle while the video is still generating.Readable before it is ready
A moment with three observed statistics: accurate long ball, accurate passes, passes into the final third.A moment, observed
The contributions view listing six labelled play types with counts.Context, counted
The game story naming a recognition drawn from the whole session.Recognition, earned

AI narrows choices

AI reduces the number of things the player has to search through. It can detect, prepare, and recommend a starting point, but it should not lock the player into one final interpretation of their game.

Follow player attention

The product should work around the player’s attention instead of requiring the player to follow the system. Processing can continue in the background. Home and notifications can bring the player back when something meaningful is available, while the product can surface useful information earlier if part of the analysis is already ready.

Evidence sets the limit

Interpretation should stay within what the available footage can reasonably support. A visible event can support a Moment. Surrounding play can add Context. Repeated evidence across a session can support broader Recognition.

Deciding where the result belongs in Ayo

Once the result experience was defined, the next question was where it should live within the existing product structure.

The Ayo home screen with three shortcuts for Activities, Venues and Scores, and no MatchCam.Recent
The same home screen with a contextual MatchCam card sitting under the three shortcuts.As sessions accumulate
The same home screen with MatchCam promoted to a fourth permanent shortcut beside Activities, Venues and Scores.Recurring behaviour validated
Three stages of one shortcut: the card earns its place on Home before it gets one.

Ayo already has recurring shortcuts on Home for Activities, Venues, and Scores. The current UI also exposes a MatchCam Hub through Dashboard. I drew the line by context rather than by feature: a recent result belongs somewhere different from a permanent destination.

Immediately after a recorded match, the result is tied closely to something the player has just done. At that point, giving it a permanent shortcut is unnecessary. A contextual Home card can surface the recent result, while a notification provides re-entry when the player is outside the app.

As recorded sessions accumulate, the role changes. MatchCam Hub can become the place for intentionally revisiting older matches. If repeated behaviour eventually shows that players treat this as a recurring destination, then its prominence on Home can increase.

The fourth Home shortcut is a future IA hypothesis, not a V1 requirement.

Extending the experience across sports

The same experience should not assume that every sport produces the same meaningful moments.

A Mini Soccer game, a basketball session, and a tennis match have different rhythms, event boundaries, and ways of explaining what happened. What can remain consistent is the product model around them: help the player find moments worth revisiting, then provide a broader story only when the available evidence supports it.

Moments to look

Different sports produce different candidate moments and different ways of visualising them.

Game Story

The type of recognition also changes with the sport. Movement and space may matter in Mini Soccer, possession and positioning may matter differently in basketball, while rally construction and court placement create a different story in tennis.

The Ayo home screen with a MatchCam card reading a bit of a Raumdeuter tonight.Mini Soccer
The same card reading you are floor general mode tonight.Basketball
The same card reading your counterpuncher side showed up.Tennis
Movement and space
Possession and positioning
Rally construction

This section is a design scalability exercise, not a claim that the research established identical user behaviour across those sports. In fact, the research was much stronger for Mini Soccer than for basketball, so I would avoid framing basketball behaviour as validated evidence.

The scalable part is the structure: find the moment, add context when useful, then recognise broader patterns only when they are supported. The events, language, and visual explanation can then adapt to the sport.