Miro Insights

What is Ask AI and how does it work?

Ask AI acts as your intelligent assistant to help you quickly find answers and discover insights from all your connected customer feedback, feature requests, and product data. How it works: Type a question or request (e.g., “What are the top features based on overall feedback?” or “What are the top issues based on overall feedback?”). Ask AI analyzes your query, searches across feedback, features, issues, and company data, and applies semantic understanding to find the most relevant information. It returns concise answers, often with direct citations from customer feedback, and links to the underlying data for further exploration. The system is designed to respect verbatim quoting standards, ensuring that any customer quotes are presented exactly as originally provided.

What is Ask AI and how does it work?

Ask AI acts as your intelligent assistant to help you quickly find answers and discover insights from all your connected customer feedback, feature requests, and product data. How it works: Type a question or request (e.g., “What are the top features based on overall feedback?” or “What are the top issues based on overall feedback?”). Ask AI analyzes your query, searches across feedback, features, issues, and company data, and applies semantic understanding to find the most relevant information. It returns concise answers, often with direct citations from customer feedback, and links to the underlying data for further exploration. The system is designed to respect verbatim quoting standards, ensuring that any customer quotes are presented exactly as originally provided.

What is Ask AI and how does it work?

Ask AI acts as your intelligent assistant to help you quickly find answers and discover insights from all your connected customer feedback, feature requests, and product data. How it works: Type a question or request (e.g., “What are the top features based on overall feedback?” or “What are the top issues based on overall feedback?”). Ask AI analyzes your query, searches across feedback, features, issues, and company data, and applies semantic understanding to find the most relevant information. It returns concise answers, often with direct citations from customer feedback, and links to the underlying data for further exploration. The system is designed to respect verbatim quoting standards, ensuring that any customer quotes are presented exactly as originally provided.

What is Ask AI and how does it work?

Ask AI acts as your intelligent assistant to help you quickly find answers and discover insights from all your connected customer feedback, feature requests, and product data. How it works: Type a question or request (e.g., “What are the top features based on overall feedback?” or “What are the top issues based on overall feedback?”). Ask AI analyzes your query, searches across feedback, features, issues, and company data, and applies semantic understanding to find the most relevant information. It returns concise answers, often with direct citations from customer feedback, and links to the underlying data for further exploration. The system is designed to respect verbatim quoting standards, ensuring that any customer quotes are presented exactly as originally provided.

How do I find and prioritize the most requested features or issues from our customers using Ask AI?

You can ask Ask AI questions like “What are the top requested features from enterprise customers?” or “Which issues have the most feedback in the last quarter?” Ask AI will return a ranked list based on metrics such as feedback count, number of requesting companies, or company priority. To prioritize, look for features or issues that not only have high feedback volume but are also marked as high priority by key customers or have significant business impact (such as high ARR accounts). For deeper prioritization, review the context and urgency in the supporting feedback, and consider aligning with your strategic goals.

How do I find and prioritize the most requested features or issues from our customers using Ask AI?

You can ask Ask AI questions like “What are the top requested features from enterprise customers?” or “Which issues have the most feedback in the last quarter?” Ask AI will return a ranked list based on metrics such as feedback count, number of requesting companies, or company priority. To prioritize, look for features or issues that not only have high feedback volume but are also marked as high priority by key customers or have significant business impact (such as high ARR accounts). For deeper prioritization, review the context and urgency in the supporting feedback, and consider aligning with your strategic goals.

How do I find and prioritize the most requested features or issues from our customers using Ask AI?

You can ask Ask AI questions like “What are the top requested features from enterprise customers?” or “Which issues have the most feedback in the last quarter?” Ask AI will return a ranked list based on metrics such as feedback count, number of requesting companies, or company priority. To prioritize, look for features or issues that not only have high feedback volume but are also marked as high priority by key customers or have significant business impact (such as high ARR accounts). For deeper prioritization, review the context and urgency in the supporting feedback, and consider aligning with your strategic goals.

How do I find and prioritize the most requested features or issues from our customers using Ask AI?

You can ask Ask AI questions like “What are the top requested features from enterprise customers?” or “Which issues have the most feedback in the last quarter?” Ask AI will return a ranked list based on metrics such as feedback count, number of requesting companies, or company priority. To prioritize, look for features or issues that not only have high feedback volume but are also marked as high priority by key customers or have significant business impact (such as high ARR accounts). For deeper prioritization, review the context and urgency in the supporting feedback, and consider aligning with your strategic goals.

What is the best way to use Ask AI to get actionable insights from feedback?

To get the most value from Ask AI, phrase your questions clearly and specifically. This means being direct about what you want to know, and including any relevant details such as product areas, customer segments, or timeframes. For example: Instead of “What do customers think?”, try “Summarize feedback about the new dashboard from enterprise customers in the last quarter.” Instead of “What are the main issues?”, try “What are common pain points mentioned by financial services customers regarding integrations?” Tips for writing effective prompts: Be specific about the topic: Name the feature, product area, or issue you’re interested in. Include context: If you want feedback from a certain customer segment (e.g., enterprise, education, a specific industry), mention it. Add a timeframe if relevant: Specify if you want recent feedback (e.g., “in the last 90 days” or “since the last release”). Ask focused questions: Instead of broad requests, ask for summaries, trends, or top themes. Ask AI will then provide concise summaries, highlight trends, and include direct quotes from customer feedback with proper citations, making it easy to back up your decisions with real customer voices.

What is the best way to use Ask AI to get actionable insights from feedback?

To get the most value from Ask AI, phrase your questions clearly and specifically. This means being direct about what you want to know, and including any relevant details such as product areas, customer segments, or timeframes. For example: Instead of “What do customers think?”, try “Summarize feedback about the new dashboard from enterprise customers in the last quarter.” Instead of “What are the main issues?”, try “What are common pain points mentioned by financial services customers regarding integrations?” Tips for writing effective prompts: Be specific about the topic: Name the feature, product area, or issue you’re interested in. Include context: If you want feedback from a certain customer segment (e.g., enterprise, education, a specific industry), mention it. Add a timeframe if relevant: Specify if you want recent feedback (e.g., “in the last 90 days” or “since the last release”). Ask focused questions: Instead of broad requests, ask for summaries, trends, or top themes. Ask AI will then provide concise summaries, highlight trends, and include direct quotes from customer feedback with proper citations, making it easy to back up your decisions with real customer voices.

What is the best way to use Ask AI to get actionable insights from feedback?

To get the most value from Ask AI, phrase your questions clearly and specifically. This means being direct about what you want to know, and including any relevant details such as product areas, customer segments, or timeframes. For example: Instead of “What do customers think?”, try “Summarize feedback about the new dashboard from enterprise customers in the last quarter.” Instead of “What are the main issues?”, try “What are common pain points mentioned by financial services customers regarding integrations?” Tips for writing effective prompts: Be specific about the topic: Name the feature, product area, or issue you’re interested in. Include context: If you want feedback from a certain customer segment (e.g., enterprise, education, a specific industry), mention it. Add a timeframe if relevant: Specify if you want recent feedback (e.g., “in the last 90 days” or “since the last release”). Ask focused questions: Instead of broad requests, ask for summaries, trends, or top themes. Ask AI will then provide concise summaries, highlight trends, and include direct quotes from customer feedback with proper citations, making it easy to back up your decisions with real customer voices.

What is the best way to use Ask AI to get actionable insights from feedback?

To get the most value from Ask AI, phrase your questions clearly and specifically. This means being direct about what you want to know, and including any relevant details such as product areas, customer segments, or timeframes. For example: Instead of “What do customers think?”, try “Summarize feedback about the new dashboard from enterprise customers in the last quarter.” Instead of “What are the main issues?”, try “What are common pain points mentioned by financial services customers regarding integrations?” Tips for writing effective prompts: Be specific about the topic: Name the feature, product area, or issue you’re interested in. Include context: If you want feedback from a certain customer segment (e.g., enterprise, education, a specific industry), mention it. Add a timeframe if relevant: Specify if you want recent feedback (e.g., “in the last 90 days” or “since the last release”). Ask focused questions: Instead of broad requests, ask for summaries, trends, or top themes. Ask AI will then provide concise summaries, highlight trends, and include direct quotes from customer feedback with proper citations, making it easy to back up your decisions with real customer voices.

What are some example prompts helpful for a Product Manager?

What are the top feature requests from our highest-value customers, and how do they align with our current roadmap? This helps Product Managers prioritize development efforts on features that matter most to key accounts, ensuring the roadmap aligns with revenue-driving customer needs and increasing the likelihood of retention and upsell. Which product areas or features receive the most negative feedback, and what are the main pain points? Identifying where users are most dissatisfied allows Product Managers to address critical usability or functionality issues, improving customer satisfaction and reducing churn. What feedback themes have emerged in the last 90 days that indicate shifting customer needs or new opportunities? Spotting recent trends in feedback helps Product Managers stay ahead of market changes, quickly adapt the roadmap, and capitalize on emerging opportunities before competitors. How do customer priorities for new features differ by industry or company size? Segmenting feature demand by industry or company size enables more targeted product development and go-to-market strategies, ensuring solutions are relevant for different customer segments.

What are some example prompts helpful for a Product Manager?

What are the top feature requests from our highest-value customers, and how do they align with our current roadmap? This helps Product Managers prioritize development efforts on features that matter most to key accounts, ensuring the roadmap aligns with revenue-driving customer needs and increasing the likelihood of retention and upsell. Which product areas or features receive the most negative feedback, and what are the main pain points? Identifying where users are most dissatisfied allows Product Managers to address critical usability or functionality issues, improving customer satisfaction and reducing churn. What feedback themes have emerged in the last 90 days that indicate shifting customer needs or new opportunities? Spotting recent trends in feedback helps Product Managers stay ahead of market changes, quickly adapt the roadmap, and capitalize on emerging opportunities before competitors. How do customer priorities for new features differ by industry or company size? Segmenting feature demand by industry or company size enables more targeted product development and go-to-market strategies, ensuring solutions are relevant for different customer segments.

What are some example prompts helpful for a Product Manager?

What are the top feature requests from our highest-value customers, and how do they align with our current roadmap? This helps Product Managers prioritize development efforts on features that matter most to key accounts, ensuring the roadmap aligns with revenue-driving customer needs and increasing the likelihood of retention and upsell. Which product areas or features receive the most negative feedback, and what are the main pain points? Identifying where users are most dissatisfied allows Product Managers to address critical usability or functionality issues, improving customer satisfaction and reducing churn. What feedback themes have emerged in the last 90 days that indicate shifting customer needs or new opportunities? Spotting recent trends in feedback helps Product Managers stay ahead of market changes, quickly adapt the roadmap, and capitalize on emerging opportunities before competitors. How do customer priorities for new features differ by industry or company size? Segmenting feature demand by industry or company size enables more targeted product development and go-to-market strategies, ensuring solutions are relevant for different customer segments.

What are some example prompts helpful for a Product Manager?

What are the top feature requests from our highest-value customers, and how do they align with our current roadmap? This helps Product Managers prioritize development efforts on features that matter most to key accounts, ensuring the roadmap aligns with revenue-driving customer needs and increasing the likelihood of retention and upsell. Which product areas or features receive the most negative feedback, and what are the main pain points? Identifying where users are most dissatisfied allows Product Managers to address critical usability or functionality issues, improving customer satisfaction and reducing churn. What feedback themes have emerged in the last 90 days that indicate shifting customer needs or new opportunities? Spotting recent trends in feedback helps Product Managers stay ahead of market changes, quickly adapt the roadmap, and capitalize on emerging opportunities before competitors. How do customer priorities for new features differ by industry or company size? Segmenting feature demand by industry or company size enables more targeted product development and go-to-market strategies, ensuring solutions are relevant for different customer segments.

What are some example prompts helpful for a Marketing/ Sales team?

What are the most frequently mentioned competitors in customer feedback, and how do users compare us to them? This gives marketers a real-world view of the competitive landscape, informing differentiation strategies, objection handling, and competitive positioning in content and sales enablement. What are the top feature requests from our enterprise customers in the last quarter? This helps marketers understand what matters most to high-value customers, guiding messaging, product positioning, and campaign focus toward features that drive enterprise adoption and retention. What are the most common reasons for churn or lost deals, according to customer feedback? Critical for addressing objections and improving retention messaging. Which industries are showing the most interest in (our new name of feature)? This insight enables marketers to target campaigns, case studies, and outreach to industries with the highest engagement, maximizing ROI and relevance. Summarize the most common pain points mentioned by users in feedback about our onboarding experience. Knowing onboarding pain points allows marketers to address objections in campaigns, create better educational content, and collaborate with product teams to improve the user journey—boosting conversion and satisfaction.

What are some example prompts helpful for a Marketing/ Sales team?

What are the most frequently mentioned competitors in customer feedback, and how do users compare us to them? This gives marketers a real-world view of the competitive landscape, informing differentiation strategies, objection handling, and competitive positioning in content and sales enablement. What are the top feature requests from our enterprise customers in the last quarter? This helps marketers understand what matters most to high-value customers, guiding messaging, product positioning, and campaign focus toward features that drive enterprise adoption and retention. What are the most common reasons for churn or lost deals, according to customer feedback? Critical for addressing objections and improving retention messaging. Which industries are showing the most interest in (our new name of feature)? This insight enables marketers to target campaigns, case studies, and outreach to industries with the highest engagement, maximizing ROI and relevance. Summarize the most common pain points mentioned by users in feedback about our onboarding experience. Knowing onboarding pain points allows marketers to address objections in campaigns, create better educational content, and collaborate with product teams to improve the user journey—boosting conversion and satisfaction.

What are some example prompts helpful for a Marketing/ Sales team?

What are the most frequently mentioned competitors in customer feedback, and how do users compare us to them? This gives marketers a real-world view of the competitive landscape, informing differentiation strategies, objection handling, and competitive positioning in content and sales enablement. What are the top feature requests from our enterprise customers in the last quarter? This helps marketers understand what matters most to high-value customers, guiding messaging, product positioning, and campaign focus toward features that drive enterprise adoption and retention. What are the most common reasons for churn or lost deals, according to customer feedback? Critical for addressing objections and improving retention messaging. Which industries are showing the most interest in (our new name of feature)? This insight enables marketers to target campaigns, case studies, and outreach to industries with the highest engagement, maximizing ROI and relevance. Summarize the most common pain points mentioned by users in feedback about our onboarding experience. Knowing onboarding pain points allows marketers to address objections in campaigns, create better educational content, and collaborate with product teams to improve the user journey—boosting conversion and satisfaction.

What are some example prompts helpful for a Marketing/ Sales team?

What are the most frequently mentioned competitors in customer feedback, and how do users compare us to them? This gives marketers a real-world view of the competitive landscape, informing differentiation strategies, objection handling, and competitive positioning in content and sales enablement. What are the top feature requests from our enterprise customers in the last quarter? This helps marketers understand what matters most to high-value customers, guiding messaging, product positioning, and campaign focus toward features that drive enterprise adoption and retention. What are the most common reasons for churn or lost deals, according to customer feedback? Critical for addressing objections and improving retention messaging. Which industries are showing the most interest in (our new name of feature)? This insight enables marketers to target campaigns, case studies, and outreach to industries with the highest engagement, maximizing ROI and relevance. Summarize the most common pain points mentioned by users in feedback about our onboarding experience. Knowing onboarding pain points allows marketers to address objections in campaigns, create better educational content, and collaborate with product teams to improve the user journey—boosting conversion and satisfaction.