Peridot
Peridot is a searchable memory platform for customer interviews, designed to help product teams and researchers capture, organize, and retrieve qualitative insights from customer conversations. The tool ingests interview recordings, transcriptions, and notes, providing a centralized repository where every moment of a customer interview is indexed and searchable. Using natural language processing, Peridot enables users to search across all interviews for specific topics, keywords, or sentiments, making it easy to find relevant clips and quotes without manually scrubbing through hours of recordings. The platform offers automatic transcription with speaker diarization, tagging and categorization features, and collaborative workspaces for teams to annotate and share insights. Users can highlight key moments, add notes, and create theme-based collections to track recurring patterns across research. Peridot also includes integration with common video conferencing tools and CRM systems, streamlining the import process. With its AI-driven search, Peridot eliminates the need for manual indexing and allows researchers to quickly validate hypotheses, prepare evidence for product decisions, and ensure that customer feedback is always within reach. The tool's analytics dashboard provides overviews of frequently mentioned topics, sentiment trends, and participant coverage to help teams measure research effectiveness. Designed for usability, Peridot features an intuitive interface that requires minimal training, along with robust permissions to control access to sensitive data. Its cloud-based architecture ensures data accessibility from anywhere, with enterprise-grade security and compliance measures.
- Category
- Analytics
- Pricing
- Paid
Problem solved
Product teams and UX researchers often conduct dozens of customer interviews but struggle to store, organize, and recall specific insights when making product decisions. Notes are scattered across documents, recordings are rarely revisited, and critical feedback gets lost. Peridot solves this by providing a single, searchable repository for all interview data, enabling instant retrieval of relevant customer quotes, themes, and evidence, thus saving time and ensuring that user research continuously informs product strategy.
Use cases
- A product manager searches for all mentions of a proposed feature across 50 interview transcripts to gauge demand before roadmap planning.
- A UX researcher compiles video clips of users expressing frustration with the onboarding flow to share with the design team.
- A customer success team uses Peridot to find success stories and pain points for case studies and sales enablement.
- A founder reviews all interviews with churned customers to identify common reasons for cancellation.
- A user research agency tags and categorizes interviews by persona and industry, then generates reports for clients.
- A design team collaboratively annotates interview highlights to align on user journey improvements.
Audience
- Researchers
- Product Managers
- Designers
- Enterprise
Pros
- Powerful full-text search across transcripts and notes
- Automatic transcription and speaker identification
- Collaborative features for team-based research
- AI-driven insight extraction and sentiment analysis
- Seamless integration with video conferencing and CRM tools
Cons
- Reliance on transcription accuracy, which may vary with audio quality
- Cost may be prohibitive for small teams or solo researchers
- Limited offline functionality due to cloud-based nature
Official website: https://askperidot.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/peridot