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Turn customer insights into action with AI-powered analysis

Transform how you capture, analyze, and activate customer insights with Miro’s customer insights platform. AI-powered pattern recognition meets fast, collaborative decision-making in one shared workspace, so teams move from raw feedback to clear action together.
customer insights
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Stop letting valuable customer insights disappear into the void

Turn customer research into products your users actually want. Centralize customer behavior insights, synthesize feedback with AI, and collaborate with product, design, and engineering teams to act on what you learn in one place where insights stay connected to the work that brings them to life.
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Why teams choose Miro as their customer insights tool

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Visual synthesis that makes patterns clear

Miro’s customer insights platform turns raw customer data into visual maps where themes, contradictions, and opportunities jump off the canvas. Group interview quotes by pain point, map user behaviors to journey stages, or cluster feature requests by underlying need. Your insights become the foundation for product strategy, not artifacts gathering dust.

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Connect every source without the integration headache

Pull customer data insights from everywhere your feedback lives. Connect CRMs like Salesforce, survey tools like Typeform, support platforms like Zendesk, product analytics from Amplitude, plus review sites and social channels. This customer insights software automatically aggregates feedback, so you spend time analyzing, not copying and pasting between tools.

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AI that finds patterns across hundreds of conversations

Let AI do the heavy lifting when analyzing customer data insights across dozens of interviews, surveys, and feedback sessions. Miro’s AI Sidekicks identify recurring themes, spot contradictions, and highlight the customer experience insights that matter most. Generate customer insights dashboards that show trends across your entire research library, or validate your hypotheses against actual customer data.

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From insights to action without switching tools

The customer insights software empowers product managers to explore findings themselves. Designers pull relevant insights during ideation. Engineers understand the “why” behind feature requests. Add customer feedback as sticky notes directly to sprint planning boards. Link insights to feature specs. Everyone works from the same customer insights framework and sees how data points connect to bigger decisions.

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Documentation that writes itself from your analysis

Turn hours of synthesis work into minutes. Generate PRDs with one click that pull directly from your customer insights research. Create business cases that connect customer pain points to revenue impact. Draft executive summaries that highlight the most actionable customer insights without losing the nuance. Your canvas becomes the source of truth that feeds every downstream deliverable.

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Real-time collaboration that keeps everyone aligned

Invite stakeholders directly into your analysis process so they can see consumer insights research unfold in real time. Product managers can flag high-priority themes, designers can ask clarifying questions on specific quotes, and leadership can track which customer behavior insights are influencing roadmap decisions. Asynchronous collaboration means global teams stay synced without endless meetings.

Integrated with your favorite tools

We get it — your team's used to working a certain way for specific workflows. It's why we have tools for everything from project management and task tracking to communication and data visualization. Connect Miro to 250+ of your corporate tools.
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What are customer insights?

Customer insights are the meaningful patterns and motivations you discover by analyzing customer data from multiple sources. Unlike raw feedback, true customer insights explain the "why" behind what customers do and say. For example, "users request feature X" is feedback, while "users request feature X because they're trying to accomplish Y faster" is an insight that reveals the underlying need and opens up multiple solution paths.

How to transform customer insights into product impact

1. Aggregate feedback from every channel

Connect your CRM, support tickets, survey responses, sales calls, user testing sessions, and review platforms. Pull customer data insights automatically into Miro where everything lives in one place.

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2. Let AI surface the signal

Use AI Sidekicks to analyze patterns across all your sources simultaneously. Identify recurring pain points, spot behavioral contradictions, and prioritize the customer experience insights with the biggest business impact.

3. Visualize insights that drive decisions

Map customer feedback to journey stages, group quotes by theme, or connect pain points to opportunity areas. Create customer insights dashboards that make patterns obvious at a glance.

4. Collaborate where decisions happen

Bring cross-functional teams directly into your research boards. Product can explore findings alongside designers, engineers can trace features back to customer quotes, and leadership can see how insights inform strategy.

5. Generate documentation instantly

Bring cross-functional teams directly into your research boards. Product can explore findings alongside designers, engineers can trace features back to customer quotes, and leadership can see how insights inform strategy.

6. Track insights to outcomes

Link customer behavior insights directly to roadmap items, feature launches, and success metrics. When teams ask “why did we build this?” months later, trace it back to the specific customer data insights that drove the decision.

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The world's most innovative companies are collaborating in Miro, everyday

More than 180,000 organizations, including Nike, Ikea, Deloitte, WPP, and Cisco, have adopted Miro to help innovate the way they innovate, with the goal of improving the speed and quality of their work.

Customer insights FAQs

What makes Miro different from dedicated customer insights software?

Most customer insights tools stop at collection and analysis. Miro connects insights directly to execution within the same workspace where product decisions happen. Instead of building research reports that teams struggle to apply, you create living boards where customer experience insights sit alongside roadmaps, design explorations, and sprint planning. Teams encounter relevant research naturally during their work because everything connects visually in one innovation workspace.

How does AI improve customer insights research beyond basic tagging?

Miro’s AI customer insights capabilities analyze context, not just keywords. AI Sidekicks understand relationships between different data points, spot patterns across qualitative and quantitative sources, and surface contradictions that manual analysis might miss. Ask AI to validate hypotheses against your entire feedback library, generate summaries for different stakeholders, or identify which customer behavior insights have the strongest business case. The AI learns from your board structure to provide increasingly relevant analysis over time.

Can non-researchers effectively use this customer insights platform?

Absolutely. Product managers without formal research training use Miro to conduct lightweight studies and organize findings using templates and AI assistance. Designers capture usability observations and connect them directly to iterations. Even teams without dedicated researchers build customer insights dashboards that improve decision-making. The visual format makes patterns obvious even without advanced research training, and AI helps structure analysis that would traditionally require research ops expertise.

How do we maintain traceability when working with thousands of data points?

Every insight on your board links back to its original source with full context. Click any customer quote to see the complete conversation, interview timestamp, or support ticket thread. Filter your customer insights framework by customer segment, date range, or feedback channel. Tag insights by product area, pain point severity, or business impact. When stakeholders question findings, you can instantly show them the actual customer data insights behind each conclusion, maintaining research integrity throughout the product development process.

Does this work for both qualitative research and quantitative customer data insights?

Yes. Teams use Miro to analyze interview transcripts, workshop feedback, and observational notes alongside survey data, analytics dashboards, and behavioral metrics. The visual canvas lets you spot connections between what customers say (qualitative) and what they do (quantitative). Map NPS scores to specific pain points mentioned in interviews, or overlay usage analytics on journey maps built from qualitative research. Create customer insights tools that show the complete picture rather than treating different data types as separate workstreams.

How does this customer insights software handle feedback that contradicts itself?

Contradictions are insights too. Miro’s visual workspace makes conflicting feedback visible rather than hidden. Map what users say they want versus what behavior data shows they actually do. Group contradictory feedback by customer segment to spot pattern differences. Use AI to identify where stated preferences diverge from actual usage. This helps teams understand the “why” behind contradictions and make better product decisions based on actual customer behavior insights rather than stated preferences alone.

Can we use Miro for continuous discovery rather than quarterly research cycles?

That’s exactly where Miro shines. Update your boards as new customer insights research comes in daily. Add support tickets as they’re closed, incorporate user interview findings the same day, or pull in survey responses automatically. Your customer insights dashboard evolves continuously rather than becoming outdated the moment you publish a report. Teams work from current understanding while maintaining historical context, enabling truly continuous discovery workflows.

What about teams that need both centralized insights and project-specific research?

That’s exactly where Miro shines. Update your boards as new customer insights research comes in daily. Add support tickets as they’re closed, incorporate user interview findings the same day, or pull in survey responses automatically. Your customer insights dashboard evolves continuously rather than becoming outdated the moment you publish a report. Teams work from current understanding while maintaining historical context, enabling truly continuous discovery workflows.

How secure is our customer data when using AI features?

Miro AI follows enterprise-grade security standards with SOC 2 Type II compliance and ISO 27001 certification. Your customer data insights are encrypted in transit and at rest, never used to train AI models, and processed within Miro’s secure infrastructure. You maintain complete control over sensitive customer information while leveraging AI to analyze patterns and generate actionable customer insights. Enterprise plans include additional security controls for highly regulated industries.

Join our 100M+ users today

Join thousands of teams using Miro to do their best work yet.