Ringside Research: AI Calling Platform for Survey Research
Replaced manual telephone survey outreach with a consent-bound AI calling platform that captures structured responses and delivers analytics as the study runs.
Sector Opinion research & polling·Service lines Conversational / Voice AI·Stack Google Cloud · Gemini · Conversational and voice AI · Speech processing · Real-time analytics
The Challenge
Ringside Research's surveys ran on manual telephone outreach, calling through lists of thousands of numbers by hand. That put a hard ceiling on what the research could deliver.
Throughput capped by people
Survey volume was limited by the number of human callers available, so scale meant hiring.
Inconsistent interpretation across a large caller team
Respondents' language and phrasing varied widely enough that consistent interpretation across many interviewers was difficult, and manually captured answers were prone to transcription error.
Quality control after the fact
Auditing meant reviewing recorded calls by hand, a process that does not scale with volume.
Insight arriving after the window closed
By the time thousands of calls were transcribed and tallied, time-sensitive research risked missing the moment it was commissioned for.
Our Approach
Automate the outreach without compromising the accuracy the research depends on.
TechTrapture partnered with Ringside Research to design and build an AI calling platform on Google Cloud and Gemini, replacing manual outreach with automated, consent-bound calling and real-time analytics.
In opinion research, a fast wrong answer is worthless. Automation had to increase volume and reduce variability at the same time, or it wasn't worth doing.
What We Built
A survey administrator provides the questions and an approved, consented number list. The platform handles the rest.
Consent-bound callingCompliant by design
Calls are placed only against the approved, consented list. Compliance is enforced by the platform itself rather than by policy and process, which makes it a design property of the system rather than a procedure someone has to follow.
Gemini-powered response capture
Conversational AI conducts each call, interprets responses across language and phrasing variation, and captures structured answers directly, rather than recording raw audio to be transcribed and coded later.
Real-time analytics
Results are available as calls complete, giving research teams live visibility into findings while the study is still running, instead of after a manual transcription and tallying cycle.
The Outcome
| Before | After |
|---|---|
| Volume capped by available human callers | Outreach no longer limited by caller headcount |
| Interpretation varied across a large team | Consistent AI-driven response capture |
| Calls audited manually after the fact | Every call captured and analysed automatically |
| Results after a delayed tallying cycle | Survey and polling results available in real time |
Before
Volume capped by available human callers
After
Outreach no longer limited by caller headcount
Before
Interpretation varied across a large team
After
Consistent AI-driven response capture
Before
Calls audited manually after the fact
After
Every call captured and analysed automatically
Before
Results after a delayed tallying cycle
After
Survey and polling results available in real time
- Voice and conversational AI in production·
- Gemini at scale·
- Compliance by design·
- Real-time analytics
What It Runs On
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