Jetson for Product Teams

Stop Manually Triaging Tickets

If you're a PM at a growing startup, you probably spend several hours every month doing the same thing: reading through support tickets, tagging issues, trying to spot patterns, and grouping similar reports so engineering can tackle them together.

We've talked to PMs at 100+ person startups who describe this exact workflow. The work is necessary—you can't write a good PRD without understanding what customers are actually experiencing. But it's also tedious, time-consuming, and easy to get wrong.

The Current Reality

Most PMs handle customer feedback like this:

  1. 1 Manual triage: Read through support conversations to identify bugs and feature requests
  2. 2 Spreadsheet tracking: Copy issues into a spreadsheet or project management tool
  3. 3 Pattern hunting: Scroll through weeks of tickets trying to spot duplicates and related issues
  4. 4 Impact estimation: Guess at how many customers are affected based on what you remember seeing
  5. 5 PRD writing: Compile everything into a document for engineering

This process works, but it has problems:

It takes hours. PMs we've spoken with estimate 4-8 hours per month just on triage and grouping.

Things slip through. When you're reading hundreds of tickets, you miss things. A bug mentioned once in passing gets lost.

Duplicates are hard to spot. The same issue reported 10 different ways looks like 10 separate problems.

Impact is unclear. "I think a lot of people are hitting this" isn't the same as knowing exactly how many.

A cluttered kanban board with disorganized customer feedback

A Simpler Workflow

Jetson connects to your support inbox and automatically classifies every conversation. Bugs, feature requests, and general questions get sorted without you reading each one.

1. Automatic Classification

When a customer reports something, Jetson reads the conversation and categorizes it. You don't need to set up rules or train anything—it works out of the box. Integrates with Help Scout, Intercom, and Zendesk.

2. Duplicate Detection

Jetson groups similar issues automatically. Ten customers reporting the same bug in different words? They show up as one item with a count of 10.

This matters for PRDs. Instead of listing "login issues" as a vague category, you can say "47 customers reported timeout errors during OAuth login in the past month."

siHelpscout #4,891 Sarah Chen
"I've been trying to log in on my iPhone for the past hour. The button just ..."
siZendesk #4,893 Mike Johnson
"Login screen completely freezes after I enter my password on Safari. Three ..."
siIntercom #4,897 Emily Rodriguez
"Nothing happens when I tap the login button. iPhone 14, latest iOS. Works f..."
Grouping similar issues
Automatically created
High Priority 3 customers

Mobile login button unresponsive on iOS

Three customers can't log in on iOS — button unresponsive on tap. Desktop works fine.

Relevant Files
LoginButton.svelte
auth/session.ts
Related Issues Authentication
Authentication timeout issues
Part of a trend with 12 related conversations

3. Impact Numbers

Every bug and feature request shows how many customers mentioned it and how recently. You can sort by frequency or recency to understand what's urgent versus what's been a long-standing annoyance.

Bug Reports & Features
Sorted by impact
Bug
Checkout fails on Safari
12 customers +4 this week
Feature
Export data to CSV
8 customers +2 this week
Bug
Password reset email delay
5 customers +1 this week

4. One-Click GitHub or Linear Issues

When you're ready to hand something to engineering, click once to create a GitHub or Linear issue. It includes the customer quotes, context about how many people are affected, and relevant details from the conversations.

No copy-pasting. No formatting. The issue is ready for your team to pick up.

acme/webapp

Checkout fails on Safari browsers

bug 12 affected
Suggested files
src/checkout/SafariPayment.ts 94%
src/lib/browserDetect.ts 87%
Customer context
"Checkout just spins forever on Safari..." — Sarah C.
"Works on Chrome, fails on Safari every time" — Mike J.

What Changes

PMs using Jetson describe two main differences:

Time saved on triage

The hours spent reading and categorizing tickets drops significantly. You still review what Jetson surfaces, but you're reviewing a curated list instead of raw tickets.

Better PRDs

When you know exactly how many customers are affected by each issue, you can prioritize with confidence. Engineering gets clearer requirements because you have real data instead of impressions.

The Workflow in Practice

Here's a typical monthly workflow with Jetson:

Weekly check-in (15-30 min)

Review the dashboard. See what's trending, what's new, what's resolved. Flag anything that needs attention.

PRD prep (30-60 min)

Pull up patterns and duplicates. See which issues cluster together. Export to GitHub or Linear with context.

Sprint planning

Reference Jetson data when discussing priorities. "This bug affects 23 customers" is more useful than "I think this is important."

Compare this to 4-8 hours of manual triage and grouping.

Jetson patterns view showing related issues grouped together

Not a Replacement

Jetson doesn't replace product judgment. You still decide what to build. You still write the PRD. You still understand your customers better than any tool.

What it does is handle the tedious parts—the reading, sorting, counting, and grouping—so you can focus on the parts that actually require a PM.

Getting Started

Connect your Help Scout, Intercom, or Zendesk inbox and Jetson starts analyzing conversations immediately. Most teams see useful insights within a few hours of connecting.

Link GitHub or Linear to create issues with one click. Setup takes about 30 seconds.

Ready to stop manually triaging?

Cut hours of triage and grouping into minutes of review. Write better PRDs with real customer data.

Money-back guarantee
Setup in 30 seconds