From Start to Finish: How Condens AI Supports Every Step of Your Research Process

Let’s start right at the beginning of your research analysis when you have your raw data at hand. With Condens' AI-powered transcription, you can transform your audio and video recordings into accurate, time-stamped text with automated captions, precise speaker recognition, and shareable highlight reels.

Auto-generated bookmarks help you quickly spot key topics in long transcripts and serve as helpful memory aids, allowing you to recall important moments from interviews. With your data organized and accessible, you can easily highlight quotes, apply tags, and identify relevant themes, giving you a head start in your analysis.

To enhance your analysis workflow, Condens provides AI-powered tagging suggestions. As you refine your themes, the AI learns from your choices and suggests contextually relevant tags over time, making it easier to spot patterns.

While this speeds up your workflow, your expertise remains at the core of the analysis. Condens understands that researchers are best equipped to interpret the nuances of user feedback—such as emotion, tone, and nonverbal cues. By letting AI handle the repetitive tasks, you can focus on uncovering deeper insights.

When juggling multiple user interviews and emerging themes, things can get complicated fast. Condens’ AI-powered Summaries help you make sense of research data in one click by generating concise overviews of key takeaways:

• Highlight Summaries capture key moments at a glance.

• Tag and Cluster Summaries reveal context and patterns without you needing to review every individual Highlight in a Tag or Cluster

• Artifact Summaries provide an overview of broader research findings.

• Session Summaries offer a snapshot of key topics, user sentiment, and interview takeaways.

The latter is the newest addition to Condens’ wide array of AI-powered summaries. It enables researchers to quickly distill key takeaways from entire interviews, eliminating the need to scan full transcripts and making it easier than ever to extract meaningful insights at scale.

For example, a Session summary might reveal that ”Users struggled with the checkout but liked the error messages and found the video tutorial helpful, though they wished it had subtitles.” This overview helps you decide whether to dive deeper into that session or move on.

Whether revisiting past research, preparing for a team meeting, or sharing findings with stakeholders, AI-powered Session summaries streamline the process, keeping your team aligned and ensuring everyone has a clear, shared understanding.

Once you’ve tagged your data, the next step is to synthesize it into a clear story. That’s where the Auto-clustering feature in the Condens Whiteboard comes in. This tool groups your tagged highlights by themes or sentiment, providing a bird’s-eye view of patterns within seconds.

For instance, if you’ve analyzed 15 user interviews, Condens can automatically group the insights by sentiment into ‘Positive,’ ‘Negative,’ and ‘Neutral’ categories. From there, you can have the AI group them further by themes like ‘onboarding’ or ‘payment issues.’ This lets you see the bigger picture and identify patterns that might not have been immediately obvious.

The process is iterative. You can reapply Auto-clustering, explore different themes, and connect insights across sessions, turning fragmented data into a compelling narrative that stakeholders can understand and act on.

A key part of synthesis is recognizing relationships between different insights. Condens makes this process easier with its Find Similar Highlights feature. If a user mentions both ‘onboarding’ and ‘payment issues’ during an interview, the AI will search through other sessions to find related highlights.

This helps you uncover patterns across your research data, so you don’t miss important trends or patterns. By automatically identifying related findings, Condens makes it easier to build an evidence-backed narrative.

The real value of research is when your team can easily access and act on insights. Now, with the introduction of the new Insights Magazine, stakeholders' dedicated repository has evolved into a tailored homepage where they can engage with published research findings.

Researchers have full control over how insights are presented. You can customize the dedicated stakeholder interface to highlight key findings, provide context, and guide stakeholders to what matters most. This ensures insights are easy to find and presented in a way that fosters understanding and engagement.

Stakeholders can interact with validated research insights through natural language queries, just like talking to a researcher. Instead of digging through lengthy reports, they can ask questions like, “What usability issues are affecting enterprise customers?” or “What is the latest finding on onboarding?”

In seconds, the AI retrieves all relevant findings, providing research-backed answers without the need for back-and-forth communication. Stakeholders can follow up with additional questions, creating a dynamic and interactive experience that deepens their understanding.

By making findings easier to explore and act on, the Insights Magazine and conversational AI search ensure research doesn’t just sit in a repository—it becomes part of the decision-making process.

Condens is built on the belief that human expertise is the cornerstone of great UX research. Our AI-powered features, like tagging suggestions, summaries, and auto-clustering, are designed to enhance your work, not replace it. By automating repetitive tasks, Condens frees you up to focus on the bigger picture—using your insights to inform smarter decisions. It’s about getting the best of both worlds: the efficiency of AI and the expertise of the researcher.

Ready to boost your research efficiency with Condens? Try our AI-powered tools with a 15-day trial and see how they can help you uncover insights faster and more effectively.