See every save call. Score every customer. Ask the strategic question.
QueSee scores 100% of save and retention calls against the playbook. Every customer re-scores after every call - churn risk, save offer history, hardship signals, competitor mentions, contract renewal proximity, payment risk. Ask Q runs strategic research across hundreds of calls on demand or on schedule. The head of retention finally has the answer to the only question that matters: why are customers leaving, and what gets them to stay.
Retention runs blind until the cancellation hits the queue
Customers churn invisibly. Save offers get made off-script. The why behind every cancellation lives in the call audio and almost never gets analyzed. Then the monthly churn number lands and the board asks why.
Customers churn invisibly until they call to cancel
Frustration builds across three support tickets and four service calls. The hardship signal in call two never gets read. The competitor mention in call three never gets flagged. The cancellation in call five looks like it came out of nowhere. It did not.
Controllable churn excludes moves, business closures, and other out-of-area exits. Live-data review on a regional ISP retention floor.
Save desk performance varies wildly call to call
One rep saves 60% of cancellation attempts. Another saves 15%. Nobody knows what the high performer is doing differently because nobody listens to enough calls to see the pattern. Coaching is a hunch, not a playbook.
Industry QA averages
We don't know WHY they're leaving until they're gone
Cancellation surveys get filled out by the 8% who bother. The 92% who hung up the moment the agent agreed to disconnect leave with their reason still in the call audio. The retention team forecasts off whatever the rep wrote in the notes field that day.
Operator interviews
Retention conversations don't get coached
Save scripts exist on paper. In practice, the rep who is busiest improvises. New hires ramp on whatever a tenured rep remembers to share. The empathy step gets skipped on the third call of the morning. The data tells nobody.
Universal save desk gap
Score the call. Re-score the customer.
One view scores every save and retention call against the playbook. The other re-scores every customer after every contact. The head of retention opens the second view first.
Every save call, scored against the retention playbook
Within minutes of the call ending, QueSee scores it against the playbook the team writes. Empathy step, listen-first posture, problem acknowledgement, save offer ladder, escalation path, recording consent. Daily review queue, not quarterly report. Tunable in plain English in week one.
- Empathy and listen-first posture before the save offer
- Problem acknowledgement before discount offer
- Save offer ladder followed in order, not skipped
- Escalation path used when first offer is declined
- Recording consent and compliance disclosures captured
- Multi-language scoring at parity with English
Every customer, re-scored after every call
After the call ends, the customer record updates. Not a static QA score - a living churn-risk view. This is the part the head of retention and the COO want.
Churn risk score
A live risk index pulled from call language, frequency, hardship signals, and complaint trajectory - not a 90-day-old segmentation tag.
Save offer history
Every offer made, every offer accepted, every offer declined - across every call, on the customer record, surfaced before the next call.
Hardship signals
Job loss, medical bill, tight month, fixed-income retirement. Caught the moment the customer says it, not extracted three weeks later from a survey.
Competitor mentions
Which competitors are in the room, what the customer said about them, what the rep said back, and where the conversation went next.
Complaint trajectory
First call neutral, second frustrated, third escalating. The pattern that predicts cancellation before the customer dials in to disconnect.
Lifetime value and contract proximity
Customer tenure, ARPU band, and contract renewal date - all visible to the rep on the screen the moment the call connects.
Escalation flags
Threats to leave, requests for supervisor, mentions of social media or BBB. Pushed to Teams or Slack the second the call ends.
Retention outcome and payment risk
Save attempt outcome, downgrade vs disconnect path, payment plan offered, billing dispute risk - written into the record for the next agent.
Strategic research across every save call. On demand or on schedule.
Not a chatbot. Not a 5-second answer. A research engine that reads every save and retention call across the book and reports back. Like having an analyst on staff who never sleeps. The head of retention gets the answer Monday at 7am, every Monday, forever.
Ask Q is the difference between a fixed dashboard and a research analyst. Ask the strategic question in plain English. QueSee reads every save and retention call across the segment, the offer, or the timeframe. The answer comes back with citations to the source call audio. Schedule it - the answer lands in the inbox every Monday morning, every quarter end, every executive review.
- Type a strategic question in plain English. The platform reads every relevant call and reports back with citations.
- Schedule any question - get the researched answer Monday at 7am, before the retention review.
- Citations link to the exact call audio and timestamp where the pattern was found.
- Pattern detection across hundreds of calls, not a one-line summary of the latest call.
- Available on demand - drop a question, get the analysis before the executive meeting.
Fixed dashboards answer the questions someone wrote in 2023. Ask Q answers the question on the executive's mind today.
Ask Q Research Library
Scheduled Monday 7am - results land before retention review
Top 5 cancellation reasons this quarter
Across every disconnect call this quarter, ranked by frequency and revenue impact. Citations link to the call audio where each reason was raised.
Save offer conversion ranking
Which save offers convert at the highest rate? Free month vs speed upgrade vs price lock. Sliced by segment, tenure, and prior offer history.
Saved vs lost language patterns
What do saved customers say differently from lost customers in the first 60 seconds of the save call? The pattern that separates retention from disconnect.
Competitor X response playbook
When customers mention a specific competitor, what did the reps who saved them say back? What did the reps who lost them say back?
30-day cancellation predictors
The top 3 churn signals across last quarter's calls that preceded a cancellation by 30 days. Scoreable on the next call.
Strategic research questions a head of retention asks Ask Q
Cancellation reason patterns
- Top 5 reasons customers cancel this quarter, ranked by frequency and revenue
- How has the top reason shifted over the last 6 months
- Which segments are driving the trend
- Citations link to the exact source calls and timestamps
Save offer effectiveness
- Which save offers convert at the highest rate this quarter
- Free month vs speed upgrade vs price lock - by segment and tenure
- Which offers got declined and what the customer said next
- Offer ladder - which one is most effective at second offer
Saved vs lost language patterns
- What do saved customers say differently from lost customers in the first minute
- Empathy phrasing that correlates with save
- Question patterns that surface hardship before the offer
- What does the rep who saves the most say in the opening 30 seconds
Competitor response playbook
- When customers mention competitor X, what response gets them to stay
- Saved vs lost responses to the same competitor mention
- Which competitors are gaining share inside the cancellation queue
- Pattern shift week over week
Early-warning signal detection
- Top 3 churn signals across last quarter that predict cancellation 30 days out
- Hardship language frequency on calls 60-90 days before disconnect
- Complaint trajectory that precedes a cancellation call
- Which signals are scoreable on the next service call
Save desk coaching insights
- Which save desk reps have the highest save rate and what do they do differently
- Coaching opportunities ranked by save-rate impact
- Skill gaps by segment - tenure-based vs price-based saves
- Top performer playbook - the call moves to teach this week
Three lines forwardable to a COO
The head of retention copies these into an email. The COO reads them in 30 seconds and knows what QueSee does, what it costs, and how fast it goes live.
Tunable in plain English. Notes, churn flags, and customer fields push to Sonar, HubSpot, Salesforce, Stripe, Recurly, Zuora, or Chargebee in 5-10 working days. 11-day setup. Add-on, not a phone-system swap.
Built for retention. 4.2% monthly churn reduction. $45K saved every month.
360Broadband - 20,000+ subscribers, 25-agent ISP floor
“You created a system who can do my job in five seconds.”
Any phone system. Any CRM and billing platform. 140+ pre-built connectors.
Sonar
5-10 working daysChurn risk, save offer history, and customer-level call summaries written into the Sonar account record. The save desk sees the full conversation history before they say hello. Pre-built connector through the same Paragon-mediated stack the rest of the integrations run on.
View Sonar IntegrationHubSpot and Salesforce
5-10 working daysCustomer record updates, retention call notes, churn flags, and save offer history land in HubSpot or Salesforce the moment the call ends. The retention team stops typing. Workflows trigger off churn-risk thresholds and competitor mentions.
View HubSpot and Salesforce IntegrationStripe, Recurly, Zuora, Chargebee
5-10 working daysPayment risk, hardship signals, and downgrade-vs-disconnect paths sync with the billing system. Failed payment retries factor in the call context. Save offers honor what is actually billable. Pre-built connectors for the modern subscription stack.
View Stripe, Recurly, Zuora, Chargebee IntegrationRingCentral, Teams, Slack
Same day setupPre-built connectors for the phone system the team already runs and the messaging tool the manager already lives in. Audio in, structured intelligence out. Escalation flags push to Teams or Slack the second the call ends. 140+ connectors mediated through Paragon.
View RingCentral, Teams, Slack IntegrationCommon questions from heads of retention
See every save call. Score every customer. Ask the strategic question.
A 14-day free trial runs on the team's own calls. The first scored save call lands in week one. The head of retention sees the rolled-up churn-risk view by week two. If it is not a fit, we say so on the call.