Do we need to switch platforms?

No. We are platform-independent and evaluate the experience and outcome—regardless of whether it is a voicebot platform or an in-house development.

Does it replace platform reports (latency, errors, etc.)?

We supplement them. Platform KPIs are useful. We also focus on user reality and the technical factors that actually influence the experience, such as end-to-end latency or audio artifacts in the voice stream.

How do you test intelligibility in the office/train station/car?

With human tests in realistic environments. We test under real conditions such as background noise, hands-free calls, and interruptions—supplemented by clear measurement logic (e.g., intelligibility on the first attempt, repetitions, typical misunderstandings).

What is the difference between this and AI Voice Agent Instant Support?

Instant support = one-time fix. Monitoring = ongoing approach: recurring checks, trend and regression analyses, and long-term development.

How quickly will we see results?

As a rule, the first quick wins become apparent after the baseline check. Over the following cycles, quality becomes measurably more stable—through continuous checks rather than one-time optimization.

Voicebot Monitoring

Your voicebot is up and running,
but is it really helpful?

We improve your voicebot in the long term – with platform-independent UX checks from a genuine user perspective.

Start now

Why “Tech is OK” is Not Enough

Platform reports and technical KPIs only show part of the picture. The success of your voicebot is determined by the user experience.

Good configuration ≠ good experience

Technical KPIs are good, but users abandon the process due to detours, repetitions, or unclear guidance.

AI testing AI = Blind spots
Automated tests miss real user logic, dialects, and the typical impatience of real callers.

Audio & timing kill UX
Latency, artifacts, and poor intelligibility in noisy environments lead to frustration and abandonment.

Methodology That Reflects User Reality

Platform-independent UX quality assurance that not only tests your bot, but also systematically improves it.

Overview of the voicebot experience – understandable and relevant for decision-making.

Results-oriented assessment
Prioritized next steps
Identified quick wins

Comprehensibility where it counts: in the office, at the train station, in the car.

Ambient noise
Hands-free & echo
Speech intelligibility

Real people test like real users—with impatience, dialect, and context changes.

Persona-based testing
Edge cases & stress situations
Dialect & tempo variations

From Check to Improvement

1

Kickoff & Target Vision

Joint definition of critical journeys, user groups, and success criteria.

2

Baseline Check

Initial measurement using human tests, real-world intelligibility, and experience metrics.

3

Monitoring Cycle

Regular checks with trend analysis, regression testing, and prioritized recommendations.

4

Implement Quick Wins

Implementation of the most effective improvements and measurement of the impact in the next cycle.

A structured process instead of reactive individual measures.

Suitable For Management & Operationally Usable

Clear results instead of lengthy PDFs: scorecards, receipts, backlogs—
so that decisions can be made quickly and measures can be implemented efficiently.

Experience Scorecard