Voice AI fits cleanly into our CATI operation. Pre-qualification and callbacks run smoothly, so the team can stay focused on high-quality, standardized interviews.
Norbert Hochleutner
Head of Field, Telemark Marketing
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Voice AI on pre-qual. The team on the interviews.
Telemark uses Voice AI inside its CATI operation for pre-qualification and callbacks. The team focuses on the high-quality, standardized interviews — the voice agent handles the volume up front.
57%
completion rate
~2m18s
avg interview
DACH
accent coverage
24/7
sample window
Challenge
Company
CATI is one of the most labor-intensive workloads in market research. Hitting weekly quotas across multiple parallel studies — public-opinion polling, energy-market satisfaction, regional consumer studies, sports and leisure panels, transport-operator NPS, brand-recall — means many call attempts per study, often multiple touches per respondent before a qualified interview happens. Pre-qualification and callback work absorbs significant time before the actual interview begins.
Market Research
Solution
Use cases applied
Per study, a voice agent calls respondents in their home region, opens with a regionally-natural greeting, explains the topic, and handles the pre-qualification: is the person reachable, willing, and a fit for this study? On "yes," the agent books the interview slot or hands off to the team. On "later," callbacks are scheduled automatically. For short, standardized studies the agent runs the interview itself — and outside office hours or on weekends it covers the slots when the team isn't available.
Conclusion
Telemark shows how Voice AI fits into a CATI operation as a clean division of labour: pre-qualification and callbacks up front, high-quality structured interviews handled by the team. Studies run in parallel, regional accents handled by the same model. The team spends its time where quality actually gets made.
Questions
Case Study
FAQ.
What was the primary outcome?
57% completion rate.
Which use cases were used?
This deployment used Follow-up Calls, Surveys & Feedback.
Can similar teams replicate this approach?
Yes. The same rollout pattern can be adapted to your call flows, goals, and escalation model.
How quickly can this be implemented?
Most teams launch an initial version in days and then optimize with live call data.
What is the best first step to replicate this?
Start with one high-impact call flow, define transfer guardrails, and measure one clear KPI from day one.
Want similar results?
We can map your process and launch a voice AI use case tailored to your team.