Case 01 · Operations

Video understanding.
Operational quality.

Reviewing creator videos and sending feedback was a recurring manual task. I connected AI video understanding to the work itself, and designed how the resulting feedback would be reviewed.

1,109Feedback messages delivered in two weeks1
My role
Sole designer, developer and operator
Evidence
Verified operational records

Good feedback needs
more than generation.

The challenge was to connect video understanding and quality review into a useful workflow. This diagram summarizes that relationship at a conceptual level.

01

Define the right problem

The need was a consistent feedback operation across many videos, beyond a tool that simply wrote replies faster.

02

Separate judgment and review

I treated AI interpretation as an input that still needed a separate quality review.

03

Evaluate actual outcomes

I distinguished delivered feedback from generated text, and pilot evidence from the wider operation.

Evidence from delivery.

Operational results and pilot validation represent different scopes of evidence.

9271

Creators reached

Recipients in the two-week operating sample.

1,1091

Feedback messages delivered

Messages actually sent during the same period.

552

Pilot assessments

Assessments included in pilot validation; this is not a measure of overall operational accuracy.

Sources and scope

  1. Work outcome summary and verified delivery records. Recipient and message counts cover the same two-week operating sample.

  2. Pilot assessment records. This validation sample is separate from operational delivery and does not establish overall accuracy.

  3. Detailed implementation and operating rules are not disclosed to protect confidential work.