Ask your Repository

Product Introduction

1. Ask your Repository is an AI-powered natural-language search tool integrated into research workflows to analyze raw data and deliver validated insights across platforms like Slack, Teams, and Condens Magazines.
2. The product accelerates research analysis by automating repetitive tasks, enabling instant access to insights, and maintaining strict data privacy while preserving human oversight for critical synthesis.

Main Features

1. The AI-powered conversational search allows stakeholders to query research repositories using natural language, delivering evidence-backed answers with follow-up question support for deeper exploration.
2. Auto-clustering automates affinity mapping in the Whiteboard by grouping highlights based on sentiment or user-defined prompts, reducing manual synthesis time while identifying patterns across datasets.
3. Multilingual transcription converts audio/video recordings into time-stamped text with 85+ language support, speaker recognition, and automated captions, enabling efficient analysis of qualitative data.

Problems Solved

1. The product eliminates manual sifting through large research datasets by providing AI-generated summaries, bookmarks, and tagged highlights that surface key insights from transcripts, notes, and artifacts.
2. It serves UX researchers, product managers, and enterprise teams requiring rapid synthesis of user feedback while maintaining compliance with GDPR, HIPAA, and SOC 2 standards.
3. Typical scenarios include real-time stakeholder queries about historical research, automated tagging to prevent duplicate metadata, and generating shareable highlight reels for cross-functional alignment.

Unique Advantages

1. Unlike generic AI tools, the product is purpose-built for UX research with features like session-specific summarization, artifact linking, and compliance-focused data residency controls in EU/US servers.
2. Innovations include AI-suggested tags that prevent metadata sprawl, auto-bookmarks for critical transcript segments, and smart clusters that dynamically update as new research data is added.
3. Competitive differentiation stems from integrations with stakeholder platforms (Slack, Teams), SOC 2 Type 2 certification, and partnerships with enterprise-grade cloud providers like AWS and Azure for secure processing.

Frequently Asked Questions (FAQ)

1. How does Condens ensure data privacy when using AI features? All data is processed through GDPR-compliant sub-processors like Microsoft Azure and AWS, with strict retention policies ensuring information is never used to train external AI models.
2. Can stakeholders without Condens accounts access research insights? Yes, AI-powered search results and highlight reels can be shared via Slack, Teams, or Condens Magazines, allowing stakeholders to query evidence without platform access.
3. How accurate are the AI-generated summaries and bookmarks? The system uses context-aware NLP models trained on UX research terminology, achieving precise summarization of sessions, artifacts, and tags while flagging key transcript segments via sentiment analysis.
4. Does the auto-clustering feature support custom research frameworks? Users can guide clustering through specific prompts or let the AI auto-group highlights by detected themes, with manual adjustments allowed post-processing.
5. What languages are supported for transcription and analysis? The tool transcribes recordings into 85+ languages with speaker diarization and offers search/analysis capabilities across all supported languages in the repository.