I built WITNESS — customer friction, captured before it becomes churn Customers rarely submit per...I built WITNESS — customer friction, captured before it becomes churn Customers rarely submit per...
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I built WITNESS — customer friction, captured before it becomes churn
Customers rarely submit perfect support tickets. They leave voice notes, screenshots, incomplete explanations—or simply leave.
So I built WITNESS: a focused web app that turns a customer’s statement, intent, and private evidence into one structured Witness Packet.
Customers can speak or type what happened, attach files, and receive a private tracking reference. Teams can review the packet, assign ownership, update its status, and resolve it without exposing internal notes or raw evidence.
WITNESS uses Base44 for data, authentication, storage, permissions, backend functions, and deployment. ElevenLabs handles voice transcription, while AI creates summaries, suggests severity, scores likely spam, and drafts customer updates for human review.
The product feels premium because it is restrained, clear, and built around trust. Instead of another crowded support dashboard, it uses an editorial case-file interface where the customer’s words stay central and every important action leaves a visible record. https://witness-c1b4526a.base44.app
Built for the Base44 Dev Build-Off.
Vara's avatar
Very interesting project. For the voice transcription how well does the AI perform when giving severity scores if the voice recording is messy or with a lot of disturbance?
Jelena's avatar
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Great question. Messy audio can reduce transcription quality, so WITNESS keeps the original recording, shows an editable transcript, and treats the AI severity score as advisory rather than final. If the transcript is unclear or confidence is low, the packet stays visible for...
Vara's avatar
That's well thought out. Good job
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