9series

AI-Powered Market Research & Survey Intelligence for a Global Enterprise Research Provider

Market Research Consumer Insights Data Analytics
43% Increase in online survey engagement
38% Growth in sales for research-driven campaigns
50% Faster analysis of open-ended responses
Multi-Channel Text, audio & video survey intelligence
Advanced research analytics dashboard displaying survey distribution metrics, sentiment analysis, video insights, NLP-based tagging, demographic segmentation, and real-time reporting visualizations.

Project Overview

A US-based market research organization leveraging Qualtrics sought to enhance its consumer insight capabilities through AI-driven automation and multi-channel survey experiences. The company required a scalable digital ecosystem capable of capturing, analyzing, and interpreting text, audio, and video responses across diverse demographics. We developed a mobile-first, AI-enabled survey intelligence platform integrating Machine Learning (ML) and Natural Language Processing (NLP) to deliver faster insights, deeper sentiment understanding, and agile research workflows.

Research workflows and survey intelligence context
Industry Market Research & Consumer Analytics
Company Size Large Enterprise (Enterprise Research Provider)

Specific Business Problems

  • Difficulty analyzing complex open-ended text, audio and video responses.
  • Limited segmentation and personalization across diverse audiences.
  • Overwhelming research workflows without centralized automation.
  • Challenges extracting emotional and cognitive insights from feedback.

Objectives

  • Build an AI-powered multi-channel survey ecosystem.
  • Automate sentiment, emotion, and thematic analysis.
  • Enhance engagement through video, audio, and interactive survey formats.
  • Improve reporting accuracy and research turnaround time.

Specific Goals & KPIs

  • Reduce manual open-text analysis time by 50%.
  • Increase survey completion rate by 35%+.
  • Improve actionable insight generation by 40%.
  • Expand multilingual research capabilities.
Objectives for AI survey intelligence platform

AI / ML Capabilities Implemented

  • NLP-driven sentiment and emotion analysis.
  • Auto-tagging of brands, themes, and attributes.
  • Speech-to-text transcription using Google Cloud Speech-to-Text.
  • Behavioral response screening and churn prediction models.
  • Video indexing, subtitling, and thematic clustering.

Impact of AI Implementation

  • Faster and more accurate open-ended response interpretation.
  • Improved emotional insight extraction across markets.
  • Higher quality survey responses through AI screening.
  • Enhanced reporting precision with automated thematic categorization.

Proposed Solution

We designed and developed a mobile web-based research intelligence platform integrating ML and NLP models with advanced survey logic. The system supported:

  • Multi-channel survey distribution (text, audio, video, image).
  • Branching logic, skip logic, A/B testing, and randomized question flows.
  • Real-time data storage, transcription, translation, and reporting.
  • Centralized survey management across global audiences.
Survey intelligence UX Survey UX
Laravel, Python & Qualtrics Laravel & Python
NLP & speech AI NLP & Speech
AI survey intelligence architecture and dashboards
Custom AI survey analytics and filters

Customization Highlights

  • AI-powered thematic and sentiment search filters.
  • Interactive video survey capture with editing & snippet tools.
  • Auto-subtitling and multilingual transcription support.
  • Advanced branching logic with behavioral triggers.
  • Word cloud visualization and emotion heatmaps.
  • Secure permission-based interface for survey participants.

Implementation

Process Overview

Step 1

Research workflow analysis & requirement mapping.

Step 2

UX design with personalized survey branching architecture.

Step 3

ML & NLP integration with transcription and analytics.

Step 4

Testing, quality screening automation & cloud deployment.

Timeline & Milestones

Discovery & UX Strategy

Development & AI Model Integration

Testing, Optimization & Deployment

Execution

Agile methodology was used for iterative development and feedback.

Weekly sprints, regular stand-up meetings, and progress tracking using project management software.

Execution of AI survey intelligence rollout

Quantitative Results

43% Increase in online survey engagement.
34–38% Sales growth in research-driven industries (pharma, energy, mining).
50% Faster analysis of open-ended responses.

Qualitative Results

  • Deeper emotional and behavioral consumer insights.
  • Improved multilingual research capabilities.
  • Enhanced client reporting with evidence-based data.
  • Higher efficiency in video insight extraction and tagging.
AI survey intelligence results dashboards

Want to Supercharge Survey Insights with AI?

We help research teams build AI-powered survey platforms that transform text, audio and video into decision-ready insight.

Trusted by global partners

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