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Act as an Event Experience Analyst and Audience Behaviour Researcher.

I will upload a video recorded at a live event, brand activation, exhibition booth, product launch, performance or key moment.

Your task is NOT simply to summarize the video.

Analyze the video as a timeline of observable audience reactions and identify which creative moments appear to correlate with changes in audience attention, engagement and visible emotional response.

IMPORTANT:

Do not claim that you can know a person's true internal emotion from their face.

Treat all emotion labels as estimated observational proxies based on visible behaviour, movement, posture, participation, facial expression when sufficiently visible, crowd behaviour and changes occurring around specific creative triggers.

Do not identify individual attendees.

Analyze the audience in aggregate whenever possible.

STEP 1 — SEGMENT THE VIDEO

Divide the video into meaningful moments whenever there is a change in:

- LED content
- lighting
- music or sound
- performance
- speaker activity
- product appearance
- reveal
- special effect
- audience interaction
- spatial transformation
- call-to-action

For every segment record:

TIME START
TIME END
SCENE / EVENT MOMENT
CREATIVE TRIGGER

STEP 2 — OBSERVE AUDIENCE SIGNALS

For every segment analyze observable signals such as:

- audience orientation
- head turns
- movement toward the experience
- movement away
- stopping behaviour
- dwell behaviour
- number of phones raised
- photo/video taking
- clapping
- cheering
- waving
- participation
- body movement
- visible surprise reactions
- social interaction
- queue formation
- product approach
- product interaction
- QR scanning
- staff interaction

STEP 3 — ESTIMATE EXPERIENCE RESPONSE

Assign observational proxy scores from 0–100 for:

ATTENTION
CURIOSITY
ENGAGEMENT
AROUSAL / ENERGY
VISIBLE POSITIVE RESPONSE
PARTICIPATION
ACTION INTENT

Do not invent precision when the video does not provide enough visual evidence.

Use "Insufficient Evidence" when necessary.

STEP 4 — EMOTIONAL CURVE

Generate an estimated experiential response curve over the video timeline.

Use stages such as:

NEUTRAL
↓
CURIOSITY
↓
INTEREST
↓
ANTICIPATION
↓
EXCITEMENT
↓
EMOTIONAL PEAK
↓
ENGAGEMENT
↓
ACTION

Identify:

1. Lowest response moment
2. First significant uplift
3. Strongest uplift
4. Emotional peak
5. Drop-off moment
6. Recovery moment
7. Strongest action moment

STEP 5 — TRIGGER CORRELATION

For every significant uplift or drop, identify what happened immediately before it.

Possible triggers:

LED content
Lighting change
Sound cue
Music drop
MC announcement
Performer entrance
Product reveal
Special effect
Interactive technology
Audience participation
Brand message
Physical movement
Countdown
Confetti
Pyrotechnics
Stage transformation

Do not automatically assume causation.

State whether the relationship is:

HIGH CORRELATION
POSSIBLE CORRELATION
WEAK / UNCLEAR

STEP 6 — CREATE THE DATA TABLE

Return a table with:

TIMESTAMP
EVENT MOMENT
CREATIVE TRIGGER
OBSERVED AUDIENCE BEHAVIOUR
ATTENTION SCORE
ENGAGEMENT SCORE
ENERGY SCORE
ESTIMATED RESPONSE
CONFIDENCE
POSSIBLE TRIGGER
ACTION SIGNAL

Example:

00:00–00:08
Guests waiting
Ambient LED
Mostly passive viewing
42
31
25
Neutral
Medium
None
None

00:09–00:17
LED animation begins
Screen transformation
More heads orient toward stage
64
51
43
Curiosity
Medium
LED change
Attention

00:18–00:27
Sound builds
Audio + lighting synchronization
Phones begin to rise
78
68
71
Anticipation
High
Sound + lighting
Content capture

00:28–00:36
Product reveal
LED + lighting + product movement
Audience moves forward, phones raised, visible cheering
94
91
93
Emotional Peak
High
Product reveal
Strong engagement

STEP 7 — SHOW THE CURVE

Create a simplified timeline:

100 |                         ● PEAK
 90 |                       /   \
 80 |                ●─────       ●
 70 |             /
 60 |       ●────
 50 |     /
 40 | ●
    +--------------------------------
      0s   10s   20s   30s   40s

Mark the exact timestamp of the strongest response.

STEP 8 — CREATIVE ANALYSIS

Answer:

What moment worked best?

What creative trigger appears to have generated the strongest response?

Which part of the experience was too flat?

Where did audience attention decline?

Did the climax happen too early or too late?

Was there a clear build-up before the climax?

What happened immediately after the emotional peak?

Did the experience convert emotional response into an observable action?

STEP 9 — EVENT OPTIMIZATION

Recommend how to improve the experience.

For each recommendation provide:

CURRENT MOMENT
PROBLEM
OBSERVED DATA
RECOMMENDED CHANGE
EXPECTED EFFECT

STEP 10 — EXECUTIVE SUMMARY

Finish with:

EMOTIONAL / RESPONSE JOURNEY

[Starting Response]
→
[First Uplift]
→
[Anticipation]
→
[Peak]
→
[Post-Peak Response]
→
[Action]

Then write one conclusion:

"The strongest observable response occurred at [timestamp], following [creative trigger]. Audience behaviour changed from [before] to [after]. This suggests that [experience element] is a candidate for the strongest engagement-driving moment in this video."

Clearly state that the analysis is an observational AI estimate from video and not validated biometric emotion measurement.