Qual nps vs. QUANT nps

Which NPS unlocks more impact: Traditional or Qualitative with Glaut?

Traditional NPS stops at a number. Glaut’s Qualitative NPS goes further pairing the 0–10 score with adaptive, open-ended probes. The result: you don’t just know the score, you know the story behind it.

Traditional survey
Glaut AIMI
Traditional trackers
Glaut logo

At a glance

We’re comparing a Traditional NPS with 10 rating questions against Glaut’s Qualitative NPS: 1 rating + adaptive open-ended follow-ups.
Traditional Trackers
Glaut logo
Core design
Multiple rating questions collapsed into a score.
One 0–10 rating + adaptive open-ended follow-ups.
Output
Single loyalty score -100 to +100.
Score + themes, sentiment, and root causes.
Depth of Insight
Tells what (loyalty level), but not why.
Tells what and explains why with customer narratives
Actionability
Requires extra research to diagnose drivers.
Directly points to drivers and barriers.
Benchmarking
Standardized, easy to compare across industries.
Retains NPS score, adds context and nuance.
Scalability & analysis
Simple to scale, fast to analyze but shallow insights.
Open-ended coding, trends, crosstabs and real-time fraud checks in 1 platform
Use cases
Quick KPI reporting and industry benchmarking
Diagnosing NPS shifts, guiding brand tracking, and CX/PX/EX improvements

When to use each

Traditional NPS when

You only need a benchmarkable KPI for loyalty.
Industry norms and competitor scores are central.
Leadership wants a quick, standardized metric.
Resources for qualitative analysis are unavailable.
Choose Glaut when
Teams want monthly drivers for CX, PX, or EX improvements.
You need to know why scores shift, not just that they did.
You need scalable, fraud-checked qualitative data
Actionability matters more than a vanity metric.

Embed Glaut into your stack

You don’t need to rebuild your NPS or switch platforms. With a simple iframe, Glaut’s AIMIs slot directly into your current survey flow for richer, fraud-checked qualitative data.

No  disruption: keep your existing tech stack
Seamless flow: no redirects, full context preserved
Preserve structure and continuity while collecting richer, contextual qual data
Richer data: replace grids with 1 open-ended AIMI
Embed glaut AIMI into a survey

A first comparative study

In early 2024, we ran our first comparative study: "Enhancing Qualitative Market Research with Conversational AI-agents: Comparative Study of AI-Moderated Interviews (aka “AIMIs”) and Traditional Static Surveys".

The aim was to test whether an AI-moderated interviewer could capture richer, more insightful qualitative data than traditional web-based surveys.

+129% avg. words per response with AIMIs vs. surveys
-53.6% gibberish interactions using AIMI
+94.1% performance gain: AIMIs rated higher in quality in 66% of cases.
+56.4% higher completion rate with AIMIs (61%) vs. static surveys (38%).
Comparative study AIMI vs. Surveys
Faq

Get answers to the most commonly asked questions

Can one AIMI really replace 10 rating questions?

Yes. AIMIs extract the same brand dimensions measured by rating grids - awareness, preference, loyalty, TOM - while adding emotions, associations, and motivations that fixed scales can’t capture.

Can Glaut still deliver numeric KPIs like a survey?

Yes. Glaut extract the same brand health metrics -awareness, consideration, loyalty, NPS - while linking them to the narratives and drivers behind each number. You don’t lose trendlines, you gain context.

Are AIMIs suitable for global or multi-language tracking?

Yes. AIMIs run 24/7 in 50+ languages, making it easy to scale brand tracking across markets while maintaining consistent depth and fraud prevention.

We answer all your questions here
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