Customer intelligence for research
Turn large samples into decision-ready evidence.
Mikaka helps research teams connect customer or respondent feedback to clear themes, segment patterns, unmet needs, and evidence leaders can act on.
Built for research agencies, universities, NGOs, public-sector teams, customer insight teams, and organizations that need structured evidence from real people.
How Mikaka helps
Customer Intelligence for Research and Evidence Teams
A good voice agent is not just a talking bot. It needs a clear workflow, reliable escalation, structured records, and reporting that helps teams improve the way they serve people.
Structure respondent evidence
Research teams can use Mikaka to organize feedback, responses, themes, and outcomes around the decision the study needs to inform.
- Survey and interview evidence
- Eligibility and consent context
- Quota and completion visibility
- Follow-up needs and non-response patterns
Keep evidence organized
Responses are only useful when they can be reviewed and analyzed. Mikaka turns completed interactions into structured records for analysis and reporting.
- Question-level response capture
- Interaction summaries and outcomes
- Non-response and refusal reasons
- Respondent pattern visibility
Make findings easier to act on
Mikaka turns research evidence into the themes and patterns leaders need before making program, product, policy, or market decisions.
- Segment-level themes
- Multilingual fieldwork planning
- Program and market decision support
- Human review for sensitive studies
Common use cases
Where teams put AI voice agents to work
01
Market research surveys
02
Public-sector field studies
04
Customer satisfaction studies
05
Post-service interviews
06
Large-sample respondent evidence
Questions buyers ask
AI voice agent FAQ
Can Mikaka support research studies?
Yes. Mikaka can help structure respondent evidence, capture patterns, and turn large-sample feedback into analysis-ready intelligence.
Can Mikaka track consent and eligibility context?
Yes. Consent, eligibility, and response context can be included in the workflow and stored with the response record.
Is human review still possible?
Yes. Research teams can scope workflows where sensitive responses, unusual answers, or quality checks are escalated for human review.