Get notified immediately
A dashboard alert and an email to the person in charge
Detect At-Risk Customers Before They Leave
An alert the moment dissatisfaction is detected
Every response is scored automatically against your own satisfaction criteria. As soon as a customer is flagged as dissatisfied, an alert lands on your dashboard and the person in charge is notified by email.
They trust us
More than 2,000 businesses trust us
Why at-risk customers go unnoticed
A disappointed customer rarely complains. They answer politely, never call back, and their dissatisfaction shows up nowhere until they switch providers or post a review. Without a detection mechanism, you find out once the problem is already public.
What it costs you:
The signal gets lost in the volume
When dozens of responses come in every week, the comments that need action drown among the rest. With no filter and no alert, nobody knows which case to open first.
Nobody knows who should step in
Dissatisfaction that is spotted but not assigned stays unhandled. Without a clear owner and a follow-up status, two people call the same customer or, more often, nobody does.
Response time goes unmeasured
An unhappy customer called back the same day can be won back. Three days later they have moved on. Without measuring time to first contact, you can't tell whether your team reacts fast enough.
Know who is at risk before Google finds out.
Customer experience monitoring
45/100
Customer health
At risk3 situations to followAt-risk customer detected
Diana B. has had no follow-up in 62 days.
The handling window has been missed.
Recommended action
Contact the customer today
How detection works
You decide what counts as a satisfied customer. InputKit applies those rules to every response it receives and triggers the follow-up automatically when the threshold isn't met.
Step 1: Define your satisfaction criteria
Mark scale questions and the NPS question as satisfaction determinants. An NPS of 7 or more, or a scale score of 6 out of 10 or more, marks the customer as satisfied. Below that they are flagged as dissatisfied, regardless of survey wording or language.
Step 2: Get the alert in real time
An alert is added to the dashboard and the person in charge receives an email. Automatic sentiment analysis also classifies written comments as positive, negative, mixed, or neutral, so delicate cases surface faster.
Step 3: Track the case to closure
Every alert moves through four statuses: to handle, assigned, customer contacted, done. You assign an owner, add internal notes for the team, and handling time is calculated automatically in business hours.
What early detection gives you
Set your own thresholds
You decide which answers flag a customer as at risk
Know what to handle first
A dedicated filter for dissatisfied customers, no digging required
Assign an owner
Every case has an owner and a follow-up status
Measure your response time
Time to first contact is calculated automatically
Before, we might have blamed the salesperson too quickly. Now, we better understand the source of the dissatisfaction. We've implemented clear employee tracking, appreciated by the team, and faster, more professional review management.
Mario Gilbert
General Manager, Lallier Honda
Quebec City, Quebec
Ready to spot at-risk customers while there is still time?
An unhappy customer who leaves in silence takes their recurring revenue and their referrals with them. Take 15 minutes to see how InputKit detects them and alerts you automatically.
