Catch mis-selling before it escalates
Sales targets and suitability rarely pull in the same direction. Under pressure to convert, an agent may talk up a product, downplay a cost or sell something that does not fit the customer in front of them. In banking and insurance, the fallout lands as complaints, redress and regulatory scrutiny.
The trouble is timing. Mis-selling is usually found long after the sale — in a complaint months later or an audit sample — when the damage is done and the trail has gone cold. By then intervention is remediation, not prevention.
How Feelingstream helps
Feelingstream evaluates every call, chat and email for the signals that point to mis-selling: undue pressure to close, overstated benefits, unmentioned costs or exclusions, and a mismatch between the customer's needs and the product sold. Conversations that show these patterns are flagged for human review.
Reviewers see each flagged conversation next to its transcript and time-aligned audio, so they can judge quickly whether there is a genuine problem and act while it still matters. Rather than waiting for a complaint to surface, conduct-risk and QA teams can intervene, coach and correct early — turning a reactive process into a preventive one.
- Screen all conversations for mis-selling signals, not a sample
- Route flagged cases to reviewers with the evidence attached
- Spot patterns by product, campaign or team before they spread
What you can measure
- Upheld complaints related to unsuitable sales
- Time between a risky conversation and intervention
- Volume of flagged cases and how many are confirmed on review
- Recurring signals by product, team or campaign
Where to go next
- Pillar guide: Automated call-centre quality assurance
- Product: Automatic quality scoring
- Related: Detect vulnerable customers
- How it works: Inside an automated quality evaluation
Want to catch unsuitable sales while you can still put them right? Book a demo.