With a team of 19 supervisors, 1 QA analyst, and 200 agents receiving 1,300 calls per day, This Fortune 500 global medical products company was looking for a solution that gave them speech analytics insights, a data-informed QM process, and the ability to improve agent performance & coaching while protecting customer data.
Business requirements
- PCI and credit card information redaction
- Defining a data-informed QM process
- Improving incorporation of core values (branding, call etiquette, customer experience)
- Agent performance and coaching programs
Dealbreaker
- Metadata restrictions: The company needed to find a vendor that could ingest all metadata.
Biggest challenge with former vendor
- Transcription accuracy was 60-70%, meaning that data couldn’t be used to inform business decisions with high fidelity.
Choosing Observe.AI
- Better transcription accuracy out of the box
- Selective redaction, an ML-powered capability that secures sensitive information on calls with higher precision. With this, they can drive greater data compliance and quickly review calls without compromising the context of the conversation.
- 100% analysis of customer interactions
- Reducing services from three to a single platform
- Ongoing customer support and professional services
“Right out of the box, Observe.AI’s transcription accuracy was better than what we saw during the 18-month relationship we had with our previous vendor. And it’s only continued to improve over time.”
—Casey Headden, Manager, Reporting & Analytics, F500 Global Medical Products Company
Results
- AI-powered keyword monitoring, or’ Moments,’ inform data-driven performance feedback
- With selective redaction, the issue of over-redaction or under-redaction is solved and allows the company to customize automated redaction to their unique needs.
- High evaluations output with 1:150 QA-to-Agent ratio
- More transparent QA evaluation process
- Tighter feedback loops with agents that contributed to 15% increase in NPS scores
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