Perspective AI
FreemiumAI-Powered Customer Research at Scale
About Perspective AI
Perspective AI is an AI research platform designed for product, marketing, research, and CX teams. It functions as an on-demand PhD researcher, planning studies, running smarter-than-human interviews from a single prompt, and delivering research-backed specs, journey maps, and insight reports in minutes. The platform aims to provide meaningful customer conversations at scale, enabling users to understand customer needs, make confident decisions, and plan with precision, all while being 10x faster and at 1/10th the cost compared to traditional methods.
How to Use
Users can prompt AI to interview customers and uncover insights. From a single prompt, Perspective AI plans the study, conducts AI-moderated interviews, and generates research-backed outputs like specs, journey maps, and insight reports in minutes. Users can also participate in research studies guided by Perspective AI.
Perspective AI's
Key Features
- AI-powered customer conversations
- Conversation templates
- Magic summary
- Interactive AI analysis
- Shareable highlights
- Research-backed specs, journey maps, and insight reports
- Voice Agents
- Visual Concept Testing
- Product Roadmap Prioritization
- Custom branding
- Unlimited seats
- Choice of LLM providers
- Company-wide customer knowledge hub
- Custom integrations
Use Cases
- Product research
- Marketing research
- CX (Customer Experience) research
- Message testing
- Unmet needs analysis
- Service experience improvement
- Understanding customer churn (why people leave)
- Sales insights
- Customer Success insights
- Executive AI Adoption insights
- Product Managers' AI-Driven Identity Crisis insights
- Marketing AI Readiness Report
- Product-Market Fit Report
Key Features
Pros & Cons
- Conducts AI-moderated interviews at scale, saving significant time and cost compared to traditional research
- Delivers structured outputs like specs, journey maps, and insight reports directly from a single prompt
- Supports multiple input methods (text, voice agents, visual concept testing) for versatile research
- Integrates with existing workflows through custom integrations and a company-wide knowledge hub
- Offers a freemium pricing model, making it accessible for small teams to try
- AI interviews may lack the nuance and rapport of human-to-human conversations for sensitive topics
- Output quality depends heavily on the prompt and underlying LLM, which may require fine-tuning
- As a relatively new platform, the ecosystem of templates and integrations may be less mature than established research tools
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