SaaS product feedback loop

Use Slab5 to turn support tickets, customer notes, CRM signals, and analytics events into a repeatable product feedback workflow for SaaS teams.

Use case

A SaaS company wants a weekly workflow that reads support issues, customer activity, CRM account context, and product usage signals, then creates a product feedback brief for engineering and customer success. The workflow should highlight churn risk, recurring bugs, missing docs, high-value feature requests, and follow-up tasks.

Prompt

Every Friday, summarize this week's support tickets, customer notes, CRM account context, and product analytics events. Group issues by product area, identify accounts at renewal risk, create follow-up tasks, and draft an engineering brief that requires product lead approval before publishing.

Flow

1. Scheduled AgentGrid workflow starts weekly.
2. list_support_tickets pulls tickets by status, priority, and category.
3. search_activity gathers calls, notes, and escalations.
4. search_companies and search_contacts connect issues to account context.
5. run_bi_query reads product usage, activation, and feature adoption data.
6. Agent step clusters recurring issues and identifies revenue or renewal exposure.
7. create_task assigns follow-up actions to product, support, or success owners.
8. create_entry drafts the product feedback brief.
9. Approval gate pauses for product lead review.
10. Approved continuation publishes the brief or marks it ready for internal distribution.

Operating model

This is useful when a SaaS team wants feedback to become operational state instead of scattered Slack threads. The same workflow can create tasks, brief product owners, preserve source records, and build a traceable history of what was reviewed.

The workflow can also be used by developers building internal tools: Slab5 provides the record model, analytics access, approval state, and run history, while the team keeps its own product-specific UI.

Controls

Use a schedule-specific credential or workflow policy with:

support:read
crm:read
activity:read
tasks:write
cms:write
bi:read
agentgrid:write

Require approval before publishing the brief or creating customer-visible communication. Use audit logs and AgentGrid run logs to inspect which tickets, accounts, and analytics signals informed each recommendation.