Automatically detect complaints in calls and emails, highlight the exact evidence, and uncover root causes. Stop hunting through transcripts and start solving problems.
"I canceled last month but I’m still being charged."
"Support told me it was fixed and it happened again."
Most organizations have thousands of customer interactions every week. Complaints are often buried inside long conversations or mislabeled, leading to churn and compliance risks.
Everything you need to manage risk
Automatically analyzes transcripts to detect complaints with a confidence score and reasoning, separating true complaints from general inquiries.
Identifies the exact sentences causing dissatisfaction. No more reading 20-minute transcripts to find one issue.
LLM-generated summaries focus on what went wrong and the outcome the customer wants (refund, apology, etc.).
Automatically pulls out product names, order IDs, and dates to link complaints to specific SKU or services.
Cluster similar complaints into themes (e.g., 'Billing continues after cancel') to reveal recurring drivers.
Flags legal threats, harassment, or regulatory risks immediately for faster escalation and documentation.
Dataknobs doesn't just tell you there was a complaint; it shows you exactly where and why.
Instantly understand the core issue without reading the full log.
Pinpoint the exact "problem statements" for audit trails.
Customer reports continued subscription billing after cancellation and requests a refund. Prior resolution attempts failed.
From raw audio to structured insights in four steps.
Upload call transcripts, emails, or chat logs securely.
AI classifies complaints and extracts evidence lines.
Maps issues to taxonomy and flags compliance risks.
Routes data to dashboards and teams for resolution.
We can run a pilot on a batch of your transcripts or emails to demonstrate the value with your own data.
Includes complaint accuracy report, top themes, and JSON outputs.