Miro Insights
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About
Miro Insights is a specialized product discovery and feedback management platform designed to centralize the voice of the customer within a single ecosystem. It serves as a comprehensive system of record for product teams, aggregating qualitative data from a wide array of sources including video call transcripts, CRM entries, support tickets, and customer surveys. By consolidating these inputs, the tool helps organizations move beyond fragmented feedback spreadsheets and anecdotal evidence, providing a structured environment where every product decision is backed by real-world data and customer sentiment. The platform operates through a series of robust integrations with popular business tools. It continuously syncs conversations from platforms like Gong, Zoom, and Fathom, while also pulling in customer details and revenue data from CRMs such as Salesforce and HubSpot. Once the data is centralized, Miro Insights utilizes artificial intelligence to analyze the information, pinpointing key priorities and generating actionable plans. This AI-driven analysis allows teams to quantify the business impact of specific feature requests by directly linking them to customer revenue figures, ensuring that the development roadmap is aligned with the company's financial objectives. Miro Insights is ideally suited for product managers, customer success leads, and product operations professionals within SaaS and technology-driven industries. It is particularly valuable for teams that manage high volumes of customer feedback and require a streamlined method for sorting through the noise to find the most impactful opportunities. By bridging the gap between customer-facing teams and product development, it facilitates better alignment across the organization. The tool is also beneficial for engineering teams, as it provides them with the necessary context and evidence behind the tasks they are assigned in execution tools like Jira or Linear. What distinguishes Miro Insights from other feedback management solutions is its deep integration into the Miro visual collaboration environment. This allows teams to transition smoothly from data-driven analysis to collaborative brainstorming and strategic roadmapping. Furthermore, its ability to connect specific revenue data to individual features offers a level of business intelligence that standard feedback tools often lack. This capability enables product leaders to justify their decisions to stakeholders using concrete financial metrics, ultimately leading to more successful product outcomes.
Pros & Cons
Centralizes feedback from over 20+ integrations including CRMs and call recorders.
Directly links customer revenue data to feature requests for impact-based prioritization.
Automates the synthesis of lengthy customer conversations into actionable insights via AI.
Seamlessly pushes prioritized features into engineering workflows like Jira and Linear.
Integrated directly into the Miro workspace for visual planning and collaboration.
Several integrations like Gmail, Google Play, and GitHub are currently listed as coming soon.
Requires a demo request to access specific advanced features and enterprise pricing.
Heavily reliant on external integrations for the most effective data analysis.
The product is currently listed as being in a beta development phase.
Use Cases
Product Managers can aggregate feedback from Zendesk and Salesforce to identify features requested by high-value customers.
Customer Success Teams can sync call transcripts from Gong to ensure specific pain points are captured and prioritized for development.
Engineering Leaders can align development tasks with real-world customer needs by syncing Miro Insights with Jira or Linear tickets.
Product Operations can use AI to pinpoint priorities and generate data-backed roadmaps in seconds.
Research & Design teams can import survey responses from Typeform to validate new feature prototypes.
Platform
Task
Features
• product discovery system of record
• survey response importing
• support ticket aggregation
• task management synchronization
• video call transcript analysis
• ai-powered priority analysis
• crm revenue data integration
• continuous feedback syncing
FAQs
What platforms does Miro Insights integrate with for customer feedback?
Miro Insights integrates with video call tools like Gong and Zoom, CRMs like Salesforce and Hubspot, and support platforms including Zendesk, Slack, and Intercom to aggregate customer requests.
How does the AI help in the product discovery process?
The AI analyzes imported customer conversations and support tickets to enrich ideas, pinpoint top priorities, and generate data-backed, actionable plans in seconds.
Can I connect revenue data to my product features?
Yes, by connecting Salesforce or HubSpot, you can bring in customer details and revenue data and link them directly to specific feature requests and business opportunities.
Is there a way to sync my discovery work with my engineering team's task list?
Yes, Miro Insights allows you to continuously sync features with tasks and issues in management tools like Jira, Linear, and Shortcut to align engineering and product teams.
Does it support mobile app store reviews?
While listed as coming soon, the platform plans to support bringing in user app reviews and feedback from both the Apple App Store and Google Play.
Pricing Plans
Enterprise / Custom
Unknown Price• Live demo built for specific challenges
• Full integration suite
• AI-driven priority pinpointing
• Data-backed plan generation
• Revenue data enrichment
• Priority support
Free
Free Plan• Miro Insights Beta access
• Sign up with work email
• Basic feedback syncing
• Community support
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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