Our approach
Actionable intelligence that drives measurable operational impact.
Signal turns every customer interaction into clear priorities and specific actions so your team can improve what matters most.
Identify what to automate, fix, or prioritize
Analyze every interaction to uncover the highest-impact opportunities across cost, service quality, and customer risk.
Potential impact
10–25%
Efficiency
potential reduction in handle time
20–40%
Automation
of interactions identified as candidates
2–5%
Service quality
potential improvement
Turn insights into specific actions
Translate KPIs and customer interactions into targeted coaching, escalation, and automation opportunities.
Example actions
Surface personalized coaching opportunities with real, highlighted interaction examples
Escalate at-risk customers and emerging issues earlier
Identify high-volume, low-complexity contacts to deflect or automate
Scale QA and frontline coaching
Expand coverage and team-lead effectiveness without adding proportional manual effort.
Potential impact
100%
QA coverage
of eligible interactions analyzed
2–3×
Team-lead capacity
more time focused on coaching
50–70%
Manual QA effort
potential reduction in reviews
Outcomes vary based on operating model, interaction mix, and implementation scope.
Product tour
From metric to driver to coaching plan.
The interactive demo lives on the big screen.
Open this page on a laptop to walk one investigation end to end — ten guided steps on real product screens.
Case study
Turning interactions into action.
Deployed with a large customer service and BPO provider — 40,000+ professionals across 40+ global delivery locations.
50×
as many interactions analyzed
4×
faster performance deep dives
75%
less coaching preparation time
30%
less manual QA effort
80%
of cost-cutting target addressable through identified drivers
Coverage
QA sampled under 1% of interactions, and coaching leaned on sparse reviews and NPS surveys. Signal now analyzes 100% of interactions across calls, chats, and email.
Deep dives
Client performance reviews took weeks of manual call listening. Deep dives are now assembled from pre-analyzed journey segmentation — the same review, four times faster.
Coaching
Team leads spent hours pulling calls to prepare each session. Coaching queues now arrive pre-built, with example interactions attached.
“I really love the data. Identifying the segment and coaching against it is very powerful. It will save team leads a lot of time.”
Director of Operations · global BPO provider
Team
Built by operators who've run AI transformations.
Andrea Gao
Co-founder
Before Signal, Andrea spent six years at Boston Consulting Group transforming operations for Fortune 500 companies — including more than ten customer-experience AI transformations in her last three years. Earlier, she was the second data-science hire at Earnin. She holds a master's in statistics from Duke University.
Frank Yao
Co-founder
Before Signal, Frank was a Principal at Boston Consulting Group, advising senior leaders on operational and digital transformations across consumer, retail, industrial, and financial-services companies. He also led strategy and analytics at TikTok Shop, focused on performance management and growth in a fast-scaling digital business.
Let's find signal in your data.
30 minutes with our founders. Bring one metric you don't fully trust — we'll talk through what's likely driving it, and what it would take to know for sure.
Book a 30-min intro →