NOT JUST AUTOMATED; REIMAGINED.

Use Cases

Our all-in-one platform streamlines entire market research workflows, from project objectives to first-draft, editable PowerPoint reports and multimedia presentation - helping teams deliver insights faster, and better - all while maintaining research rigor. Plus, it eliminates the hassle of working with multiple vendors by centralizing qualitative and quantitative research analysis in one platform.

Quantitative Research Use Cases

  1. Brand Health Tracking – Track brand perception, loyalty, and sentiment shifts over time through automated analysis.
  2. Concept Testing – Evaluate product, packaging, or marketing concepts by measuring consumer preferences and emotional reactions.
  3. Ad Effectiveness Measurement – Analyze engagement, recall, and sentiment to optimize ad performance.
  4. Customer Segmentation – Identify distinct consumer groups using clustering algorithms for targeted marketing.
  5. Product Usage & Attitude (U&A) Studies – Assess how consumers interact with products, their pain points, and areas for improvement.
  6. Key Driver Analysis (KDA) – Identify factors that drive satisfaction, perception, and purchase intent.
  7. Pricing Sensitivity Research – Determine optimal price points using methodologies like Van Westendorp and conjoint analysis.
  8. Competitive Benchmarking – Compare brand performance to competitors to uncover strengths and market opportunities.
  9. Customer Journey Mapping – Identify touchpoints, barriers, and drivers to improve the customer experience.
  10. Market Sizing & Demand Estimation – Forecast demand and assess growth opportunities through data-driven projections.
  11. Message & Claims Testing – Evaluate marketing claims for clarity, persuasiveness, and audience resonance.
  12. Path-to-Purchase Analysis – Map decision-making processes to enhance conversions and reduce friction.

Qualitative Research Use Cases

  1. Qualitative Thematic Analysis – End to end qualitative research analysis - from discussion guide generation to first-draft, editable PowerPoint presentation and video collage. 
  2. In-Depth Interview (IDI) Analysis – Automate transcription, coding, and sentiment extraction to surface key insights.
  3. Quali-Quant Segmentation - Transform qualitative insights into statistically valid audience segments by analyzing IDIs and focus group recordings. We build best-in-class ML models on qualitative data to create deep, behavior-driven segments that combine human context with quantitative rigor.

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