Salesforce UAT
Salesforce deployments fail in production, not in sandbox.
We embed specialist UAT testers who understand Salesforce's permission model, data architecture, and Lightning framework — and test it the way your actual users will.
Talk to the founderWhat we validate
Every layer of your Salesforce implementation.
Profiles & permission sets
Every role, every object, every field — we validate access matches your design, not Salesforce's defaults.
Data migration quality
Migrated records tested for data integrity, relationship mapping, and field-level accuracy across all object types.
Lightning components
Custom LWC and Aura components tested across browsers, screen sizes, and user contexts — including Safari.
Workflow & process automation
Flow, Process Builder, and Apex triggers validated against real business scenarios, not just happy paths.
Integration endpoints
REST and SOAP callouts, platform events, and outbound messaging tested under realistic data conditions.
Multi-currency & multi-org
Currency conversion, territory management, and cross-org data sharing validated for enterprise complexity.
What we find
This is what automated testing misses.
Real scenarios our specialists have caught in Salesforce UAT engagements.
Opportunity stage transitions bypass required fields — deal records missing close date on handoff
Profiles with custom object access can view but not save — permission set conflict not caught in sandbox
Opportunity currency conversion rounds incorrectly for multi-currency orgs — AUD contracts overstated by $0.01
Case assignment rules break for accounts migrated from legacy CRM — orphaned cases with no owner
REST API callouts silently fail when opportunity name contains special characters — no error surfaced to user
Custom Lightning components render incorrectly on Safari 16 — used by 40% of the sales team
FAQ
Common questions about Salesforce UAT.
How do you test Salesforce workflows before go-live?
Salesforce workflow testing requires specialists who understand Flow, Process Builder, and Apex trigger execution order — not just testers following scripts. Bugwolf embeds UAT testers who execute real business scenarios using role-specific personas, including sales reps, admins, and finance users. We validate that automation fires correctly under real data conditions, including edge cases like multi-currency records, complex permission sets, and data migrated from legacy systems.
What should a Salesforce UAT checklist include?
A thorough Salesforce UAT checklist should cover: profile and permission set validation across every role and object; data migration quality including relationship mapping, field-level accuracy, and record ownership; Lightning component rendering across browsers and screen sizes including Safari; workflow and process automation logic — Flows, Process Builder rules, and Apex triggers — under realistic business scenarios; REST and SOAP integration endpoints under real data conditions; and multi-currency and multi-org configurations for enterprise orgs.
Why is UAT critical for Salesforce implementations?
Salesforce's flexibility is also its risk: permission models are complex, automation can interact in unexpected ways, and sandbox behaviour regularly diverges from production. Developer-led testing and automated scripts validate code paths, not user journeys. UAT with specialist testers — people who understand Salesforce's data model and permission hierarchy — surfaces the defects that only emerge when real users interact with real data: broken approval chains, silently failing integrations, and access control mismatches that expose sensitive records.
How long does Salesforce UAT take?
Salesforce UAT timelines depend on implementation scope. A focused CRM rollout covering core Sales Cloud objects, standard workflows, and a single integration typically requires two to three weeks of structured UAT. Larger implementations — multi-cloud deployments with Service Cloud, custom Lightning components, complex data migrations, and multiple integrations — should allocate four to six weeks. Bugwolf provides a scoped estimate after reviewing your implementation design and go-live constraints.
What Salesforce defects does UAT catch that automated testing misses?
Automated testing validates individual components in isolation. UAT catches defects that emerge from the intersection of configuration, data, and user behaviour: opportunity stage transitions that bypass required fields only when triggered by specific user profiles; permission set conflicts that allow record viewing but silently block saving; currency rounding errors that only appear in multi-currency orgs with specific conversion rates; case assignment rules that break only for records migrated from a legacy CRM; and Lightning components that render incorrectly on the browsers your actual users run.
Also in our platform specialisms
Salesforce go-live coming up?
Talk to Ash before you flip the switch. 13 years of enterprise UAT — and zero failed go-lives on our watch.
Talk to the founder