Route feedback to the right person efficiently

Jake Sawyer

Updated July 02, 2026 17:06

The value of centralized customer feedback depends on routing it to the right people quickly. This article walks through a three-step workflow for assigning feedback to the makers who own each product area. It also shows you where Productboard Spark can take over the repetitive work, so your team spends less time sorting and more time learning.

This article is part of the best practice series, which outlines how you can help your entire organization develop a deep understanding of what users really need and, in turn, build products that matter.

Step 1: Map your product areas and assign ownership

Spend time with your team to create a mapping table that clearly states which maker owns incoming feedback for each product area. You can use tags or a set of keywords to define each area.

Product areas mapping table

Product	Feature set	Tag / Topic	Keywords	Owner
Integrations	Integration X, Y, Z	integrations	integrate, integration	Maker A
Analysis	Reports, dashboards	reports	report, analyze, analysis, dashboard	Maker B
Collaboration	Comments, mentions	collaboration	collaboration, collaborate, comment, mention, in-line	Maker C
Collaboration	History, audit log, versioning	logging	log, audit, history	Maker D
Performance	Performance, lag	performance	performance, sluggish, slow, lag	Maker A

Tips: Keep the mapping table on your internal wiki and use it as the basis for other processes too, like routing bugs or categorizing support conversations. This is how it works at Productboard, and a shared language across the organization makes a real difference.

Make sure you tell everyone in the organization how you've divided your product. Provide initial enablement when you roll it out, and include it in new hire onboarding. You can do this as part of a wider enablement for contributors to effectively contribute insights.

Note: If your workspace uses Spark, you don't have to build your keyword list from scratch. Spark's auto-tagging analyzes your existing feedback and automatically applies tags in three categories: tools mentioned, business context, and product entities. Review these tags in your Feedback section to surface the patterns that actually appear in your feedback, then use them to define your product area keywords.

Once you know who owns what, set up insights automation rules to assign and tag newly created feedback. Insights Automation does most of the heavy lifting and reduces tedious work across your teams. Everyone can focus on reading only the feedback they can learn from.

Tip: Products evolve and companies grow, so your mapping table and automation rules will inevitably become outdated over time. Review them periodically. Assign one person to own regular reviews so your routing system stays accurate.

Step 2: Create a product area insights boards for each maker

Create insights boards based on your product areas mapping table from Step 1. We recommend this even if you already have Insights Automation set up.

Tips: Combine status (unprocessed) and owner (unassigned) filters with either tags, topics, or keywords to define each owned product area.

You might want multiple insights boards per product area for better coverage. You can also include the maker's or team name in the board title and encourage makers to add their boards to their Favorites.

Note: Not sure which product areas to create boards for? If your workspace uses Spark, check the AI-generated topics in Library > Themes. Spark groups related feedback into topics automatically based on patterns across all your notes. Use these topics as ready-made filters when setting up your boards.

Step 3: Get feedback assigned to its owner

Assigning an owner to feedback makes it clear who is responsible for processing it. It also helps contributors know who to follow up with about feedback they submitted. Contributors can leave a comment directly on a note, which notifies the assigned owner automatically.

Several tactics help you assign feedback efficiently. A well-configured Insights Automation does most of the work, but you'll still need to supplement it occasionally. If your team doesn't have access to Insights Automation, the tactics below will help.

If your workspace uses Spark, two features speed up manual review significantly. First, Spark generates an AI summary for each note, so reviewers can understand the feedback at a glance. Second, Spark extracts customer intents from each note, categorizing them as feature requests, bugs, complaints, questions, and more, and attaches an urgency level to each one. These signals help you triage your queue faster and route feedback with confidence.

Leveraging automatic owner assignment of portal votes

Portals let makers share ideas that are under consideration, planned, or already launched. When product managers post feature ideas on a portal, Productboard automatically assigns incoming votes to the maker who owns the underlying feature. Votes arrive pre-highlighted and linked to the associated feature, so processing them takes minimal effort.

Using bulk actions to assign (and tag) feedback from your insights boards

Go to each maker's product area insights board and assign (and tag) feedback in bulk. This should take only a few moments.

Select a range of feedback by holding Shift or selecting the checkboxes beside each title. Once you're done, deselect all updated feedback.

Tip: Make this a weekly exercise, or monthly if you're complementing Insights Automation.

Note: If your workspace uses Spark, check the Tags column in your insights board before opening the bulk action menu. Spark's auto-tagger pre-classifies notes with tags for tool mentions, business context, and product entities. Use these tags to filter and group similar notes before assigning them in bulk.

Assigning remaining unassigned feedback

With the tactics above in place, most of your feedback should be assigned to an owner, but some may have been missed if they didn't match your automation rules, board filters, or portal votes. Assign ownership to these notes manually.

Note: If your workspace uses Spark, open any note to see its AI summary and extracted intents in the sidebar. These tell you what the customer is asking for and which product area is most affected, without reading the full text. This makes manual triage of the Unassigned board significantly faster.

Tip: If you start seeing patterns among leftover feedback, update your insights board filters and Insights Automation rules to capture them automatically going forward.

Using Spark to automate feedback routing

Spark reduces manual routing work through two systems that run continuously in the background.

Insights automation with AI-informed rules. Configure rules that trigger when notes are created or updated. Set conditions based on content, source, tags, or topics. The rules then assign the right owner, apply tags, and link notes to features automatically. The more specific your conditions, the more of your queue Spark handles without manual intervention.

Ongoing auto-tagging. Once enabled, Spark tags every new note with tool mentions, business context, and product entity labels. These tags feed directly into your insights automation conditions. The richer your tag coverage, the more effective your routing rules become.

Together, these two systems handle the majority of your incoming feedback volume. Manual review in the Unassigned board becomes the exception rather than the rule.

By following these steps and using Spark where available, you can get feedback distributed to the right makers quickly. This reduces frustration, eliminates duplicated effort, and gives go-to-market colleagues a clear person to follow up with on behalf of their customers.

Continue reading our best practice series about developing a deep understanding of what users really need.

Next up: Turn customer feedback into insights, faster and at scale.