ProductProduct OverviewUse Cases

Use Cases

Common research scenarios Cashew supports — brand tracking, concept testing, customer satisfaction, and more.

Brand Tracking

What it is: Ongoing measurement of brand awareness, consideration, and perception over time. Track how your brand performs against competitors and identify shifts in consumer sentiment.

Who uses it: Brand managers, marketing leads, and agencies running quarterly or annual brand health studies.

Cashew features: Recurring studies, demographic targeting, matrix questions for brand attributes, cross-tabulation by segment, trend dashboards, and exports for executive reporting.

Concept Testing

What it is: Testing new product ideas, packaging, or messaging before launch. Gather feedback on concepts to refine or prioritize before investing in development.

Who uses it: Product managers, innovation teams, and design leads validating ideas with target audiences.

Cashew features: Image and video embedding for concept stimuli, open-ended feedback, rating scales, AI-powered theme extraction, and demographic segmentation to compare reactions across segments.

Customer Satisfaction (CSAT / NPS)

What it is: Measuring customer satisfaction and loyalty through CSAT (Customer Satisfaction Score) and NPS (Net Promoter Score) surveys. Identify promoters, passives, and detractors to improve retention.

Who uses it: Customer success teams, product managers, and support leads tracking satisfaction post-purchase or post-interaction.

Cashew features: NPS and CSAT question types, email distribution to customer lists, real-time dashboards, follow-up questions for detractors, and trend tracking over time.

Ad Testing

What it is: Evaluating ad creative (video, static, or copy) before or during campaigns. Measure recall, message clarity, and purchase intent to optimize creative spend.

Who uses it: Marketing teams, creative agencies, and media planners testing ad concepts and iterations.

Cashew features: Video and image embedding, exposure and recall questions, rating scales, demographic targeting for ad-relevant audiences, and AI analysis of open-ended feedback on creative.

Product Feedback

What it is: Collecting structured and open-ended feedback from users about product features, usability, and unmet needs. Informs roadmap prioritization and UX improvements.

Who uses it: Product managers, UX researchers, and growth teams running in-app or post-use surveys.

Cashew features: Survey links for in-app or email distribution, feature-rating questions, open-ended feedback, AI summarization of themes, and segmentation by user type or behavior.

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