Product

Turn raw customer feedback into reviewed product work

ZeroTwo reads Intercom conversations, clusters repeated feature requests, drafts Linear issues, and sends a Slack review queue so PMs approve roadmap signals before backlog changes.

Integrates with:

What changes

Before
With ZeroTwo
Feedback intake
Product managers scan support threads only when roadmap planning is near
Intercom feedback is reviewed on a daily or weekly schedule
Duplicate requests
Similar requests become separate notes, tickets, or Slack messages
Repeated asks are clustered with linked customer examples before review
Backlog creation
Support and product teams manually rewrite customer language into product tasks
Draft Linear issues include problem statement, examples, impact notes, and source links
Product control
Automation risks flooding the backlog with low-quality tickets
PMs approve, merge, or reject each proposed issue in Slack before creation

Feedback intake

Before

Product managers scan support threads only when roadmap planning is near

With ZeroTwo

Intercom feedback is reviewed on a daily or weekly schedule

Duplicate requests

Before

Similar requests become separate notes, tickets, or Slack messages

With ZeroTwo

Repeated asks are clustered with linked customer examples before review

Backlog creation

Before

Support and product teams manually rewrite customer language into product tasks

With ZeroTwo

Draft Linear issues include problem statement, examples, impact notes, and source links

Product control

Before

Automation risks flooding the backlog with low-quality tickets

With ZeroTwo

PMs approve, merge, or reject each proposed issue in Slack before creation

Why product teams use ZeroTwo for feedback triage

Cleaner roadmap signal

Repeated requests are grouped by customer problem, segment, and source conversation so planning starts from evidence instead of scattered anecdotes.

Less backlog noise

ZeroTwo checks for similar Linear issues and routes uncertain matches to review, reducing duplicate tickets and vague feature placeholders.

Visible approval gates

Slack review messages show the proposed issue, source conversations, confidence notes, and PM actions before anything is created or updated.

Faster product operations

Support teams keep using Intercom while product teams receive structured themes, draft issues, and review queues without manual copying.

Customer feedback is everywhere, but roadmap-ready evidence is not

A support conversation mentions a missing export field. A sales thread asks for a different version of the same capability. A community post describes the user problem in better language than either ticket. By the time roadmap planning starts, the PM has fragments across Intercom, Slack, and memory. The strongest signal may be repeated, but it is not grouped.

The opposite failure is just as damaging: every customer comment becomes a ticket. Linear fills with duplicates, unclear requests, and feature ideas that lack source evidence. Product managers then spend planning time cleaning the backlog instead of deciding what matters. A useful agent should reduce this noise, not create more of it.

How ZeroTwo triages product feedback into Linear

1

Reads recent customer conversations and tagged feedback

Intercom

ZeroTwo reviews Intercom conversations, tags, customer segments, account notes, and prior replies so the feedback is tied to the original customer context.

2

Checks existing product work before drafting anything new

Linear

ZeroTwo searches Linear for related bugs, feature requests, and roadmap work to avoid duplicate issues and to suggest merges when a request already exists.

3

Clusters requests by underlying product problem

GPT-5

The agent separates bugs, usability friction, feature requests, and integration asks, then groups repeated customer problems with supporting examples and caveats.

4

Routes a review queue to the product owner

Slack

ZeroTwo posts a Slack review message with proposed issue titles, source links, confidence notes, customer impact, and approve, merge, or reject actions.

5

Creates or updates issues only after approval

Linear

Approved items become Linear issues with source conversations, labels, problem statements, and review history so product work starts with evidence.

Runs every weekday morning or whenever a feedback tag is applied · Review queue delivered to the product channel in Slack

The useful part is triage, not automatic roadmap control

ZeroTwo treats connectors, plugins, and skills as supporting ingredients for one product-operations job. Intercom supplies the customer language, Linear supplies the backlog context, Slack supplies the review surface, and the product-design audit skill informs how requests are framed as user problems rather than feature slogans. The agent is useful because it joins those inputs into one reviewable decision packet.

The workflow should stay conservative. It should not silently create high-priority roadmap work, infer revenue impact without connected account data, or erase product judgment. Low-confidence clusters, sensitive customer details, and possible duplicates should be sent to review. The best outcome is a PM who sees fewer raw threads and better-backed product decisions.

Get started in under 10 minutes

1

Connect your tools

One-click OAuth for each integration. No API keys, no engineering.

2

Describe what you need

Every weekday morning, read new Intercom conversations tagged product feedback, group repeated requests by customer problem, check Linear for duplicates, and send me a Slack review queue with draft issues I can approve or reject.

3

It runs on schedule

Daily product feedback triage lands in Slack before product standup, with approved items written to Linear.

Frequently asked questions

Yes, but the useful setup keeps PM approval in the loop. ZeroTwo can read Intercom conversations, cluster repeated requests, search Linear for related work, and draft issues. The PM should approve, merge, or reject the drafts before new backlog items are created.

The workflow checks Linear before drafting new work. If a similar issue already exists, ZeroTwo links the customer examples to the existing issue or sends a merge suggestion to Slack. Ambiguous matches stay in the review queue instead of being created automatically.

Yes. ZeroTwo can classify feedback into bugs, usability friction, feature requests, integration asks, and general sentiment. The classification is strongest when your Intercom tags, Linear labels, and product-area ownership rules are already reasonably consistent.

The PM should review the customer examples, duplicate matches, proposed problem statement, affected segment, confidence notes, and any sensitive account context. Approval should mean the request is ready to enter the product process, not that it is committed to the roadmap.

No. It organizes passive feedback so product teams see patterns faster. Discovery interviews, usability sessions, and strategic roadmap decisions still need human judgment. ZeroTwo helps preserve evidence and reduce manual sorting before those decisions happen.

Related workflows

Turn customer feedback into product work with review built in.

Connect Intercom, Linear, and Slack once. ZeroTwo keeps the triage queue moving.