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Why choose Level AI over Qualtrics?

Qualtrics revolutionized feedback management, but the CX landscape has evolved. Today’s leaders need more than static surveys — they need real-time visibility into quality, performance, and customer emotion across every interaction. That’s why they’re moving to Level AI.

  • Unified CX intelligence platform vs survey-led feedback management tool
  • iCSAT on 100% of conversations vs limited, sample-based survey responses
  • Actionable, explainable insights in real time vs delayed, post-event reporting
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Trusted by customer service leaders across the world

The results with Level AI

25%
increase
in CSAT
45%
increase
in ASAT (Agent Satisfaction)
90%
time
saved in QA monitoring
100%
better
insights into the business

Beyond Traditional AI: How Level AI Outperforms Qualtrics

Unified CX Intelligence, Not Survey-Centric Feedback

Level AI captures, analyzes, and interprets 100 % of real customer interactions (voice, chat, email) in real time.


Qualtrics depends on post-interaction surveys and form-based feedback, offering partial CX visibility and slower insight loops.


Explainable QA that Builds Trust

Unlike legacy bots that output scores, Level AI’s QA-GPT explains every evaluation with timestamps, reasoning, and evidence. Teams gain context, accuracy, and trust at scale.

Real-Time iCSAT and CX Visibility

While traditional systems depend on post-call surveys, Level AI’s iCSAT measures satisfaction and sentiment across 100% of conversations — giving leaders a live, data-backed view of customer experience health.

Instant CX feedback. Zero surveys required.


Real-time intelligence, Not after-the-fact reporting

Qualtrics measures how customers feel. Level AI lets you act, optimize, and improve every conversation through unified QA, VoC, coaching, and automation



Level AI vs. Qualtrics: A closer look

Platform Scope
Unified CX stack covering QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent
Experience management platform: feedback, journey analytics, predictive insight
Quality / Auto-QA
Explainable QA-GPT: automated scoring with reasoning, evidence, timestamps
Quality modules are tied to survey and feedback tagging; no full conversational QA layer public
Voice of Customer (VoC)
Supervised + unsupervised models surface themes, trends, sentiment automatically
Uses text analytics, sentiment, predictive feedback models across survey & feedback sources
Inferred CSAT (iCSAT)
iCSAT applied to 100% of conversations — no survey dependency
Predictive models and feedback-based CSAT, but less continuous inference across every interaction
Virtual Agent / AI Agent
Native Voice + Chat Virtual Agents integrated with QA/VoC
Focus is on feedback, analytics, and experience measurement — AI agents are not core
Agent Assist & Coaching
Real-time Agent Assist + coaching tied to QA & VoC feedback
Coaching and feedback workflows based on survey and feedback outputs; less live assist
Screen Recording
Synced audio + agent desktop recording for quick context and QA validation
Separate recording / playback systems; not layered with QA interface

What people are saying about Level AI

One Stop Contact Center Solution
We want to be able to do analytics for product, ops, and contact center teams while supporting customer service. Level AI's intent-based system + omnichannel is unique.
David Demarco
VP Delivery and Business Systems
Source:
2x better than anything we've tested
Level AI's semantic-based system is unique. We are getting a minimum of 82% accuracy from Level AI semantic tags. Overall 2x better than anything we have tested.
Chris Lewis
Contact Center Product Manager
Source:
We cannot imagine business without Level AI
Level AI helps us solve quality assurance, product management, and customer service pain points. As we scale, cannot imagine the business without Level AI.
Yuliya Ordova
Senior Director, CS Strategy
Source:

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