Use cases
Where contact centers put Valence to work
From live agent coaching to post-call QA, emotion intelligence shows up differently across your ops. Here is how teams are using it.
Use case 01
Live agent coaching and de-escalation
A supervisor gets an alert the moment a caller's frustration score crosses a configurable threshold. The alert fires before the call has time to spiral, typically within the first two minutes of frustration onset.
The agent sees a subtle in-call cue on their screen: a gentle signal, not an intrusive overlay, that the caller's tone has shifted. The supervisor can whisper a coaching prompt or join the call silently. Most de-escalations happen before the caller says the words that trigger a formal complaint.
Teams using this pattern report fewer escalations handled by supervisors and more calls resolved by agents independently, because the cue arrives early enough to shift approach before the situation locks in.
Use case 02
QA at scale and trend analysis
Manual QA samples two to five percent of calls. Valence processes every call and flags the ones that carried significant emotional load, so QA teams spend their time on the interactions that matter.
Post-call emotion reports surface patterns across thousands of calls per week: which product lines generate more frustration, which agent teams handle tense calls more effectively, which script inflection points consistently raise caller anxiety.
Coaching shifts from reactive to systematic. Instead of reviewing a random sample, supervisors review the highest-signal calls first. Patterns that would take weeks to surface through sampling appear in the first 48 hours.
Weekly QA Summary - Team North
2,847 calls analyzed
Use case 03
Smarter bot-to-human routing
Conversational AI bots handle first contact on many contact center queues. They are good at structured tasks: account lookups, status checks, appointment booking. They are poor at reading when a caller is becoming frustrated with the interaction itself.
Plug Valence into the bot pipeline and the bot gains a frustration signal it can act on. When caller frustration crosses threshold, the bot can route to a human agent without waiting for the caller to say "let me speak to a person" or explicitly complain.
This reduces the number of calls that arrive at a live agent already at peak frustration, one of the hardest starting conditions for an agent to recover from. Earlier routing means earlier recovery, and lower average handle times on transferred calls.
Bot routing logic
Early-access pilot outcomes
Data from contact centers that ran Valence in production during the early-access program. Results vary by team size and workflow integration.
23%
fewer escalations
Across early-access pilots. Escalation defined as supervisor-joined or formal complaint filed within 24 hours of call.
18%
CSAT improvement
Average post-call CSAT score improvement measured across pilot participants using live coaching intervention. Baseline varied by site.
31%
fewer repeat contacts
Reduction in same-issue repeat contacts within 7 days. Attributed to improved first-contact handling when frustration cues were acted on during the original call.