Ask the standard Net Promoter question on a phone call: how likely are you to recommend us, from 0 to 10. Customers say their score out loud, the AI asks what is behind it, and promoters, passives, and detractors are sorted automatically.
Integrates with the tools you already use
The 0-10 question, asked properly
The AI asks the recommend question with the full 0-10 range read out, so scores stay comparable with NPS you collect on other channels.
Customers answer by speaking a number. The AI understands numbers said in Hindi, English, and other supported languages and confirms any it is unsure about.
After the score, the AI asks what is the main reason for it, and for low scores, what would need to change.
Scores of 9-10 are tagged promoters, 7-8 passives, and 0-6 detractors, using the standard NPS bands.
Detractor responses are sent to an owner you choose, with the transcript, so the customer can be called back.
Track NPS over time by region, product, plan, or any attribute you upload with the customer list.
Relationship NPS on a regular cycle
Clean data for your NPS calculation
If a customer says "eight or nine", the AI asks them to pick one, so every response is a single whole number.
NPS is the percentage of promoters minus the percentage of detractors, calculated per cycle and per segment.
The customer's explanation is saved word for word next to their score.
Reasons are grouped into themes such as pricing, support, or product quality across all responses.
Calls that drop before a score is given are retried within the limits you set, and not counted until completed.
Scores, segments, and transcripts flow to your CRM or BI tools via API or CSV export.
Ask the 0-10 question, hear the reason, and follow up with every detractor.