CASE STUDY · SHOPPING-MALL APP

A 4-year-old blind spot.
Found in one week.

Qafka running inside a live loyalty app with hundreds of thousands of users — answering thousands of genuine questions in Turkish and turning them into product signal.

event_availableONE WEEK OF LIVE USAGE · A SINGLE DEPLOYMENT

1,755

managed conversations in one week

3,833

messages in one week

47

screens mapped at setup

WHAT USERS ACTUALLY ASKED — AUTO-CATEGORIZED
Transactions & document requests42.8%
Rewards & perks23.1%
General & other13.3%
Events & announcements10.4%
Facility services4.6%
ISSUES DISCOVERED BY AI
#135×

High-value requests rejected without a reason

#219×

Reward-system logic not understood

#315×

Uploaded records not appearing on screen

Qafka doesn't just answer. It improves the product.

THE BLIND SPOT

32% of all questions were the same question.

“How do I upload a receipt?” — in an app that had been live for four years. Root cause: the action lived behind a bag icon labeled “Win.” Nobody found it. The fix was a “+” labeled “Upload Receipt.”

Humans missed it for four years. Qafka read the conversations and surfaced it in a week.

What is your app not telling you?

Every conversation is product signal. Qafka reads it so your team can act on it.

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