NPS & CSAT

Loyalty scores in, follow-ups out — automatically.

Bring us a questionnaire ↗ See the four-step process ↓

01 Where AI helps

The fiddly parts,
handled.

NPS looks simple until you program it: the 0–10 scale, the detractor / passive / promoter split, different follow-ups for each group, piping the score into later questions. The agent wires all of it from a one-line description.

Change the follow-up wording next quarter? One prompt, reviewed in seconds — no rebuild.

What changesHours of setup become minutes of review.

02 Study toolkit

The right tools
for this study.

01

0–10 rating

The classic likelihood-to-recommend scale.

02

Long text

Open-ended 'why' follow-ups per segment.

03

Single select

Reason codes and driver questions.

03 Why Aayvu

Why teams run
NPS programs on Aayvu.

01

Branching included

Detractor and promoter paths wired automatically.

02

Iterate freely

Reword follow-ups without reprogramming.

03

Trend-safe

The scale stays identical quarter to quarter.

Start with the document you already have.

See what the agent
would build for you.

Request early access ↗