Turn 30 support tickets into a prioritized spec

Most teams sit on a goldmine of support data and never turn it into shipped fixes. The tickets get tagged, triaged, and forgotten. The patterns stay invisible.

This use case walks through the full loop: raw tickets → clustered evidence → a draft spec your engineering team can actually build against.

The input

A CSV export from Zendesk, Intercom, or HelpScout. Three columns minimum: timestamp, customer message, tag. The example below is anonymized from a real B2B SaaS team.

2026-04-12, "Tried to invite my designer but the email never arrived", onboarding
2026-04-12, "Invite link expired before I could click it — had to ask again", onboarding
2026-04-13, "How do I add someone to the team? Can't find the button", onboarding
...

The flow

1. Import into the Evidence Board. Use Import Evidence for CSV, TSV, or XLSX exports. Each row becomes a separate evidence item with type classified (friction, quote, observation, metric, request) and a severity suggestion.

2. Cluster by friction pattern. Switch the Evidence Board to the Clusters layout and click Generate clusters. The AI groups items by underlying pattern — in this example, 18 of 30 tickets cluster around team invites, even though they were tagged across "onboarding," "billing," and "permissions."

3. Synthesize an intent from the cluster. Select the items in the strongest cluster, then click Synthesize Intent. The draft IntentSpec is generated from the actual quotes — not invented from the model's imagination.

4. Review the linked evidence. The new spec's Linked Evidence section groups items by the part of the spec they support, so you can see exactly which tickets each outcome is grounded in.

The output

A draft IntentSpec with:

• Objective grounded in the cluster's root cause
• 3–5 outcomes each anchored to specific evidence items
• Edge cases drawn from outlier tickets that didn't fit the main pattern
• Verification criteria that map back to the friction signals

Try it yourself

1. Sign in to Pathmode
2. Open any product, switch to the Evidence tab
3. Click Import Evidence and drop in your support export
4. Switch the layout to Clusters and click Generate clusters
5. Select the strongest cluster's items and click Synthesize Intent

Related

• Playbook: From Support Ticket to Shipped Feature
• Use case: Spot the conflict between two stakeholder requests
• Use case: Find the friction pattern across 5 user interviews