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Discovery AI

Paid
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About

Discovery AI is a specialized intelligence platform designed to streamline the product discovery process for modern product teams. By centralizing customer research into a single hub, the tool helps organizations move away from scattered notes and lost recordings toward a structured, actionable database of customer needs. The platform's primary purpose is to convert raw audio and video footage from interviews into high-fidelity transcripts and automated summaries, significantly reducing the manual labor typically associated with qualitative research analysis. The workflow within Discovery AI focuses on efficiency and clarity. Users can bulk-upload existing recordings, which the AI then transcribes with built-in speaker recognition and tagging capabilities. Once transcribed, the tool allows researchers to highlight key moments and assign "opportunity scores" to specific insights. This scoring mechanism is a core feature that helps teams categorize feedback based on impact, providing a clear, data-backed roadmap for product development. The interface is built to facilitate the democratization of data, allowing team members to quickly search for and retrieve specific customer viewpoints whenever needed. This tool is specifically built for product managers, UX researchers, marketers, and startup founders who need to maintain a customer-centric approach during rapid scaling. It is particularly useful for analyzing win/loss interviews, discovery sessions, and user testing calls. By providing a unified space for these insights, it ensures that engineering and design teams have direct access to the "why" behind product requirements, rather than relying on second-hand interpretations of customer feedback. What sets Discovery AI apart from generic transcription services is its focus on the product management lifecycle. While many tools provide text-from-speech, Discovery AI integrates prioritization frameworks directly into the research repository. Features like the Slack community for support and the ability to link customer perspectives directly to engineering tickets make it a collaborative tool rather than a siloed transcription app. Its 30-day free trial and tiered seat-based pricing allow teams to validate the tool's impact on their discovery workflow before committing to a full enterprise rollout.

Pros & Cons

Specifically designed for product discovery workflows rather than general transcription.

Provides opportunity scoring to quantify qualitative feedback for roadmapping.

Supports bulk uploads to handle large volumes of research data efficiently.

Includes a generous 30-day free trial period for testing.

Integrates speaker recognition and tagging to make transcripts highly readable.

The 'Insights' feature is currently listed as 'Coming soon' and may not be fully available.

Storage is capped at 5GB for the Pro plan and 20GB for the Team plan.

Monthly transcription hours are limited to 5 hours on the entry-level Pro plan.

Pricing is seat-based and billed yearly, which may be a high upfront cost for small teams.

Use Cases

Product Managers can upload win/loss interviews and use opportunity scores to prioritize features for their upcoming roadmap.

User Research Teams can centralize all interview recordings in one hub, allowing them to tag key highlights and share them across the company.

Startup Founders can use automated summaries to quickly digest customer feedback from multiple discovery sessions without manual note-taking.

UX Designers can retrieve specific video highlights of customer pain points to justify design changes in engineering and product meetings.

Marketers can analyze discovery sessions to identify common customer language and praise to refine brand messaging and value propositions.

Platform
Web
Task
customer research

Features

speaker recognition

slack community support

centralized research repository

transcript tagging and highlighting

bulk audio/video upload

opportunity scoring for roadmap prioritization

automated interview summarization

ai-powered high-fidelity transcription

FAQs

Can I upload multiple interview recordings at once?

Yes, Discovery AI supports bulk uploading for both existing and new audio and video recordings. This allows you to process entire research rounds simultaneously to derive insights faster.

What is the 'opportunity score' feature?

The opportunity score is a prioritization tool that helps you categorize and rank customer insights. It allows product teams to build a clear roadmap based on the most impactful customer needs identified in interviews.

Does the tool recognize different people speaking in a recording?

Yes, the platform includes speaker recognition technology as a standard feature on its paid plans. This ensures that transcripts clearly distinguish between the interviewer and the participant for better context.

How can I share insights with my engineering team?

Discovery AI allows you to share customer highlights and viewpoints directly into external tools like engineering tickets. This helps break down silos and ensures the whole team understands customer pain points.

Is there a trial period available?

Discovery AI offers a 30-day free trial to allow teams to test the features and setup process. You can start the trial without immediate commitment to see how it fits your discovery workflow.

Pricing Plans

Pro
USD19.00 / per seat billed yearly

5 transcription hrs/ month

5 GB data storage

High-fidelity transcription and summarization

Highlights and transcript tagging

Speaker recognition

Slack community support

Team
USD30.00 / per seat billed yearly

30 transcription hrs/ month

20 GB data storage

Unlimited collaborators

High-fidelity transcription and summarization

Highlights and transcript tagging

Speaker recognition

Slack community support

Enterprise
Unknown Price

Custom transcription hours

Custom data storage

Dedicated support

All Pro and Team features

Job Opportunities

There are currently no job postings for this AI tool.

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