App crashes on CSV export (support ticket #4021)
Customer reports export button freezes app on Windows 11; attached screenshot.
Turn scattered customer feedback into a prioritized action board
Customer feedback arrives everywhere—support tickets, sales calls, app store reviews, social mentions—and most of it never turns into action. The Customer Feedback Board gives product and support teams a single kanban board to capture every request, tag it by theme, and move it from raw input to shipped follow-up. Instead of a spreadsheet nobody updates, you get columns that mirror how feedback actually gets triaged: new submissions land first, then get grouped into themes, then get scheduled as real tasks, and finally get closed out with a note back to the customer. Because the board runs on the same MCP server and REST API as the rest of your workflow, an AI agent can log incoming feedback as tasks automatically, cluster duplicates, and nudge you when a themed pile of requests is big enough to justify a roadmap item.
Template preview
Capture raw, unsorted feedback the moment it comes in from any channel.
App crashes on CSV export (support ticket #4021)
Customer reports export button freezes app on Windows 11; attached screenshot.
Feature request: dark mode for mobile app
Submitted via in-app feedback widget by 3 separate users this week.
Sales call note: enterprise prospect wants SSO
Flagged by AE during demo call; blocking a $40k deal.
App Store review: confusing onboarding flow
1-star review mentioning unclear first-run setup steps.
Group related feedback into named themes so patterns are visible before work is scheduled.
Theme: Onboarding confusion
Merges 5 pieces of feedback about unclear setup; candidate for onboarding rework.
Theme: Performance on large exports
3 tickets referencing slow or frozen exports over 10MB.
Theme: Enterprise auth requests
SSO and SCIM requests bundled from 4 sales conversations.
Themes or individual requests that have been turned into committed work items.
Fix CSV export freeze on large files
Engineering ticket linked to performance theme; targeted for next sprint.
Design dark mode spec for mobile
UX to produce mockups before dev estimate.
Scope SSO support for enterprise plan
Eng lead to write technical spec and rough timeline.
Follow-up work that is built or drafted and awaiting validation before closing the loop.
Validate export fix with reporting customer
Send build to customer who filed ticket #4021 for confirmation.
Review onboarding rework copy with support team
Check new first-run flow against original complaints.
Completed follow-up where the originating customer has been looped back in.
CSV export fix shipped, customer notified
Replied to ticket #4021 with release notes and thank-you note.
Onboarding update live, reviewers replied to
Responded to App Store reviewer mentioning the fix.
Step 1
Log every piece of incoming feedback as a task in New Feedback, tagging the source channel in the description.
Step 2
Review New Feedback regularly and group related items into named Theme tasks in Themed & Triaged, linking or noting the originating tickets.
Step 3
Once a theme or standalone request is worth committing to, move or create a task in Scheduled Follow-up with an owner and target sprint.
Step 4
Move tasks to In Review when work is built, drafted, or ready for customer validation.
Step 5
Close the loop by moving finished items to Closed & Notified only after the requesting customer has been informed.
AI agent usage
An AI agent connected via the MCP server can watch New Feedback for incoming tasks, use get_task and list_tasks to detect duplicate or related requests, and automatically create theme-level tasks in Themed & Triaged. It can also flag when a theme accumulates enough linked tasks to recommend promotion into Scheduled Follow-up, and remind the team when items sit in In Review too long without customer notification.
# Customer Feedback Board Agent Instructions
Board columns: New Feedback, Themed & Triaged, Scheduled Follow-up, In Review, Closed & Notified.
- New feedback items (tickets, reviews, call notes) must be created as tasks in New Feedback via create_task.
- Use list_tasks on New Feedback to detect similar wording or repeated topics; group matches into a single theme task in Themed & Triaged using update_task or create_task, referencing original task IDs in the description.
- Only move a task into Scheduled Follow-up once it has an owner noted in the description.
- Before moving any task into Closed & Notified, confirm the description states the customer was notified; if not, keep it in In Review.
- Respect plan limits: free plan allows 1 project and 25 tasks total, so archive or delete stale Closed & Notified tasks with delete_task once confirmed resolved.Learn more about the board-centric workflow in Kanban for AI Agents or open the MCP guide.
The free plan supports 1 project with up to 25 tasks total across all columns, which works well for early-stage teams triaging a steady but manageable stream of feedback.
Upgrading to the pro plan ($12/mo or $96/yr) removes the task cap and lets you run this board alongside other projects without archiving old feedback prematurely.
Yes. Using the MCP server or REST API, an agent can call create_task to log incoming feedback into New Feedback and use update_task or move_task to progress items as they're triaged and resolved.
No. It's meant to sit alongside your support tool, capturing themed, product-relevant feedback that needs follow-up work rather than replacing day-to-day ticket resolution.
Yes, columns are fully editable. The names used here (New Feedback, Themed & Triaged, Scheduled Follow-up, In Review, Closed & Notified) are a starting point you can rename to match your team's language.
Keyboard shortcuts and the command palette let you quickly create tasks, jump between columns, and move items without reaching for the mouse, which speeds up daily feedback triage sessions.
Ready to create this board?
Sign in and use the template to create a project with columns and sample tasks.