QA Testing for Vibecoded CRM Applications

Contacts and deals are the core data objects in any CRM. Testers verify that creating, editing, and deleting contacts works correctly across all fields — name, email, phone, company, custom fields, and notes. AI-generated CRMs frequently have bugs where custom fields lose data on save, where duplicate detection fails to flag obvious matches, or where merging duplicate contacts discards data from one of the records.

Deal management adds complexity through relationships and pipeline positioning. Testers verify that deals link correctly to contacts and companies, that deal values calculate accurately including recurring revenue and one-time fees, and that pipeline stages enforce any required fields or conditions. They also check that deal history is preserved — every stage change, value update, and note should be logged with timestamps and the user who made the change.

The sales pipeline must enforce business logic correctly. Testers verify that deals can only be moved to valid next stages, that required fields are enforced before stage transitions, and that win/loss reasons are captured when deals close. AI-generated pipeline logic often allows deals to skip stages, fails to enforce required fields, or does not recalculate probability when the stage changes.

Workflow automations are where CRMs deliver the most time savings — and where bugs cause the most damage. Testers trigger automation rules by performing the configured trigger actions and verify that every step executes correctly. Does the email send with the right template and personalized fields? Does the task get created and assigned to the correct team member? Does the deal field update to the expected value? They also test automation edge cases like what happens when a trigger fires twice, when the target contact has missing data, or when two automations conflict.

Sales leaders make staffing, forecasting, and strategy decisions based on CRM reports. Testers verify that pipeline reports accurately reflect current deal stages and values, that conversion rate calculations use the correct formula, and that date-range filters include the right deals. AI-generated CRM reports frequently have aggregation bugs — the total pipeline value does not match the sum of individual deals, or win rates are calculated against the wrong denominator.

Custom reports and dashboards need particular attention. Testers verify that custom fields appear as available filter and group-by options, that charts render correctly with various data volumes, and that exported reports match what is displayed on screen. They also check that team-level reports respect visibility permissions — a sales rep should see their own numbers while a manager should see the full team's performance without exposing individual compensation details.