Ways to Do More With AI-Powered Agents During Product Development

Deadlines don’t wait for perfect data. Product teams are under constant pressure to move fast, hit targets, and build something customers actually want. But traditional research timelines and fragmented tools slow everything down. And relying on assumptions or outdated insights? That’s a shortcut to failed launches.

This is where AI-powered agents are changing the game. They help you capture, organize, and analyze customer feedback across every stage of product development, without piling on more tools or team members.

Read on if you’re looking to spend less time managing research and more time making smart product decisions.

Speed Up Research Setup Without Cutting Corners

Research planning can take up valuable time, especially when teams are managing multiple tools and timelines. Discuss simplifies that process by using AI-powered agents to handle repetitive tasks and automate the process of in-depth customer feedback, so teams can shift focus to strategy instead of logistics.

With Discuss, you can plan and launch projects from a single hub. Our Genie Experience AI agents, assist in finding the right audiences, conducting interviews, and analyzing findings to streamline workflows and make research both faster and smarter.

Some benefits of using AI agents to prepare research include:

• Consulting on your target profile and screeners
• Identifying respondents from across the globe
• Reviewing and evaluating the best respondents
• Creating questions tailored to your research objectives

With Discuss’ all-in-one platform, research setup is quick and easy. For example, pre-work submissions like short videos or images often surface useful context before the session begins. That, in turn, helps teams lead more focused conversations. Discuss also includes built-in support for screeners, translations, and scheduling, which makes global, multi-market studies more manageable without extra coordination.

Run Smarter Research Without Extra Tools

The best research approach depends on your goals, and Discuss gives you multiple formats in one platform to meet them. Whether you’re exploring concepts, testing usability, or reviewing creative assets, our tools work together to help you choose the method that fits best. 

This flexibility allows you to run live human-led interviews, collect AI-led self-paced video responses and upload past research recordings, all in the same place. Your team can then access unified insights that bring together every response, no matter the source. That’s particularly helpful for agile workflows where timelines shift and projects evolve in real time.

This mixed-method approach supports better target audience research by letting teams adapt on the fly, without the slowdown that typically comes from coordinating multiple tools or vendors.

Some research options that work well together on Discuss include:

• Live focus groups for testing emotional reactions
• AI-led self-paced feedback for fast usability testing
• Uploaded video files or transcripts for centralizing outside research

Turn Conversations Into Clarity

After research sessions wrap up, what often slows progress is the analysis phase. With Discuss, this step becomes much quicker and more insightful. Our Insights Agent reviews all session content (live, self-paced, or uploaded) and provides actionable outputs your team can act on quickly.

Discuss makes qualitative AI market research more practical by doing more than transcription. Genie highlights key themes, tags emotional tone, and surfaces key quotes and even answers your burning research questions. This reduces the need to manually scan transcripts, especially when time is tight.

Some features that speed up qualitative analysis include:

• Sentiment tagging that tracks how people feel across responses
• Searchable key moments or keywords tied to timestamped quotes and clips
• Auto-generated highlight reels that showcase key takeaways

These tools allow stakeholders to see and hear customer feedback directly, which often builds more trust in the insights. For example, product teams can review 2-3-minute highlight reels created from dozens of interviews, saving time and improving alignment across teams.

Because it’s all built into the platform, there’s no delay in reporting, no patching together multiple tools, and no dependency on third-party analysts. You’re getting insights within hours, not weeks.

Build a Centralized, Searchable Insights Library

Research doesn’t always live where it should. Often, it’s buried in folders, split across vendors, or forgotten in last quarter’s decks. Discuss solves that problem by keeping every session (whether live, self-paced, or uploaded) organized in one place, ready to be used whenever you need it.

By pulling in past projects (both from inside and outside the platform), you get a single view of your customer conversations. AI agents scan all of it, find patterns, and tag themes across sessions. That makes it easier to build trend reports, connect concepts, or revisit feedback from earlier in your product development cycle.

This is a strong example of AI in business, where automation doesn’t replace humans but helps teams make better use of what they already have. Especially in global teams, this structure keeps everyone aligned. And it avoids re-running research just because someone lost track of where it lived.

Keep Product Teams Close to the Customer

Research can’t stay locked inside the insights team. Your product managers, designers, and engineers need access too. The problem is, most don’t have time (or the right tools) to dig into raw data. AI-powered agents like Discuss make that access easier.

By summarizing hours or interviews or pages of transcripts into digestible, searchable outputs, AI helps non-researchers get what they need without being overwhelmed. This means more teams can check in with users at key stages, not just during final validation.

Some ways AI agents help product teams include:

• Quick summaries that focus on the most relevant findings
• Video snippets that show reactions without watching full sessions
• Answers to their most pressing business questions
• Sentiment markers to prioritize pain points and preferences

This kind of insight flow supports faster iteration. For instance, during early feature testing, a product team might want to validate whether their update fixed the right issue. Instead of scheduling new sessions, they can pull past feedback or run a quick self-paced test and let the AI agent handle the initial analysis.

Let AI-Powered Agents Do the Heavy Lifting

AI-powered agents help streamline every stage of product development, from setup to analysis, making research faster, more flexible, and easier to share across teams. Discuss brings these capabilities together in one platform built specifically for qualitative research.

What makes us different? By also integrating our AI agents directly into the broader Discuss platform, Discuss gives teams all they need from start to finish, in one solution. There’s no need to buy and stitch together multiple tools to achieve their objectives. With Discuss, they can easily move from an AI-led approach for quick-turn insights to a human-led approach for nuanced understanding, or a blend of both—all within a single platform.

Book a free consultation today to see how easy it is to bring powerful AI agents into your research process.