CASE STUDIES
AI-Powered Interview Assistant
Enhancing Research Quality with Real-Time Intelligence.
CLIENT: International Research Organization (Confidential), CATEGORY: AI
/ EXECUTIVE SUMMARY
Piksel developed a proof of concept (POC) for an AI-powered Interview Assistant Bot that supports interviewers during live market research sessions. The application listens to the conversation in real time, transcribes it using advanced speech recognition, maps responses to a predefined question set, and provides immediate, colour-coded feedback on answer completeness, helping ensure higher quality, more consistent, and bias-reduced interviews.
AT A GLANCE
CLIENT
International Research Organization (confidential)
ENGAGEMENT TYPE
Proof of Concept
DURATION
POC development phase
TECHNOLOGIES
OpenAI Language Models, Speech-to-Text, Audio Processing, Multilingual Translation, Local Application
/ SOLUTION OVERVIEW
Built on OpenAI’s language models, the Interview Assistant runs locally on the interviewer’s computer and operates seamlessly during online or in-person interviews.
Real-Time Audio Capture
Captures both system audio and microphone input, buffering the conversation securely on the local machine.
Intelligent Transcription & Understanding
Audio is transcribed in real time using advanced speech-to-text models with contextual understanding in the original language.
Question Mapping & Assessment
Responses are automatically mapped to a predefined question set to detect whether they are clearly answered, partially addressed, or avoided.
Live Interviewer Feedback
An intuitive, interviewer-only interface provides colour-coded indicators to guide the conversation without interrupting flow.
Multilingual & Analytical Capabilities
All processing happens in the original language, with real-time and post-interview translation, timestamped transcripts, and automated scoring in future releases.
/ BUSINESS CHALLENGE
The client was conducting a multilingual market research initiative and faced two critical challenges:
- Interviewer bias and verbosity leading to inconsistent data quality.
- Difficulty in validating in real time whether questions were properly answered or avoided.
/ OUR APPROACH
Piksel designed a bespoke, locally installed application that leverages large language models to assist interviewers in real time, ensuring structured, reliable, and high-quality data capture.
/ KEY BENEFITS (POC RESULTS)
Improved Interview Quality
Ensures all questions receive clear and complete answers.
Reduced Interviewer Bias
Provides neutral, AI-driven guidance to keep conversations on track.
Structured & Actionable Insights
Transforms unstructured conversations into evaluable data.
/ APPLICATION PREVIEWS
/ NEXT STEPS
Building on the successful POC, the solution will evolve to include automated scoring, sentiment detection, and advanced qualitative analysis, turning subjective interviews into structured, data-driven insights at scale.
