CRM Technical Integration Scenarios
Lead Management System Scenarios
Lead Import & Data Processing
Scenario: Bulk Lead Import from Multiple Sources
- Example: Marketing team imports 5,000 leads from DistribuTECH trade show CSV, 2,000 from webinar platform API, and 1,500 from LinkedIn campaign export simultaneously
- Test Case: System processes all imports without data corruption, maintains source attribution, completes within 10 minutes
- Expected: Duplicate detection across sources, data validation, import status tracking, rollback capability on failure
Scenario: Real-time Lead Capture During High Traffic
Scenario: Excel File Corruption During Import
- Example: Marketing manager uploads corrupted Excel file with mixed data types in phone number column (some text, some numbers, some formulas)
- Test Case: System detects corruption, shows detailed error report, allows field-by-field correction
- Expected: Data validation with specific error messages, preview before commit, partial import capability
Lead Scoring & Routing Engine
Scenario: Real-time Score Calculation Under Load
- Example: 1,000 leads engage with email campaign simultaneously (opens, clicks, downloads), triggering score recalculations
- Test Case: All score updates complete within 30 seconds, lead routing happens automatically, no calculation conflicts
- Expected: Async processing queue, score change audit trail, routing rule prioritization
Scenario: Scoring Algorithm Update Mid-Campaign
- Example: Data team deploys new scoring model while 500 leads are actively being processed in nurture campaigns
- Test Case: Existing leads complete with old algorithm, new leads use new algorithm, no score corruption
- Expected: Version control for algorithms, gradual rollout capability, A/B testing framework
Scenario: Lead Assignment Conflicts
- Example: Two sales reps simultaneously claim the same hot lead that just hit score threshold of 100
- Test Case: Only one rep gets assigned, other gets clear notification, audit trail shows assignment logic
- Expected: Database locks, conflict resolution rules, transparent assignment logic
Campaign Management System Scenarios
Email Campaign Execution
Scenario: SendGrid API Failure Mid-Campaign
- Example: Sending 10,000 email campaign, SendGrid API goes down after 3,000 emails sent
- Test Case: System detects failure, switches to backup provider (Amazon SES), resumes from exact stopping point
- Expected: Provider failover within 2 minutes, no duplicate sends, complete delivery tracking
Scenario: Campaign Personalization at Scale
- Example: Email to 15,000 leads requires dynamic content insertion: company name, industry, recent download, and personalized subject lines
- Test Case: All emails personalize correctly, sending completes within 30 minutes, tracking URLs work properly
- Expected: Template processing optimization, merge field validation, performance monitoring
Scenario: A/B Test Execution with Uneven Split
- Example: A/B testing subject lines on 5,000 lead campaign, but database query returns different lead counts for test groups due to recent imports
- Test Case: System auto-balances groups, maintains statistical validity, handles mid-test lead additions
- Expected: Dynamic group balancing, sample size calculations, test integrity monitoring
Multi-Channel Campaign Coordination
Scenario: Cross-Channel Engagement Tracking
- Example: Lead receives email (opens), visits website (downloads whitepaper), attends webinar, then sales rep calls
- Test Case: All touchpoints attributed correctly, engagement score updates in real-time, sales rep sees complete history
- Expected: Universal lead tracking, cross-system data sync, unified engagement timeline
Scenario: Campaign Frequency Capping
- Example: Lead qualifies for 3 different campaigns running simultaneously: product launch, webinar invite, and monthly newsletter
- Test Case: System enforces max 2 emails per week rule, prioritizes by campaign importance, reschedules lower priority
- Expected: Global frequency management, priority-based scheduling, suppression list management
Scenario: Time Zone Optimization Across Regions
- Example: Global campaign targeting water utilities in US (3 time zones), Canada (6 time zones), and Australia (3 time zones)
- Test Case: Each lead receives email at optimal local time (9 AM their timezone), delivery spreads over 24 hours
- Expected: Timezone-aware scheduling, send time optimization, delivery window management
Analytics & Reporting Engine Scenarios
Real-time Dashboard Performance
Scenario: Executive Dashboard During Peak Usage
- Example: Monthly board meeting, 10 executives simultaneously access dashboards showing 2M+ records of campaign data
- Test Case: Dashboards load within 5 seconds, data refreshes every 30 seconds, no performance degradation
- Expected: Cached query results, pre-aggregated data tables, progressive loading
Scenario: Complex Attribution Calculation
- Example: Closed deal worth $250K had 15 touchpoints across 6 months: 3 emails, 2 webinars, 1 trade show, 4 website visits, 5 sales calls
- Test Case: Attribution algorithm processes all touchpoints, assigns weighted credit, updates ROI calculations in real-time
- Expected: Multi-touch attribution engine, configurable attribution models, audit trail for calculations
Scenario: Custom Report Generation Under Load
- Example: Marketing manager generates complex report analyzing campaign performance by industry, geography, and lead source for Q4 data
- Test Case: Report generates within 2 minutes despite processing 500K records, allows export to Excel/PDF
- Expected: Optimized query execution, background processing, report status tracking
Data Synchronization & Integrity
Scenario: PostHog Event Tracking Failure
- Example: PostHog service experiences 4-hour outage, missing analytics events for 2,500 user interactions
- Test Case: System queues events locally, replays to PostHog when service recovers, no data loss
- Expected: Event queuing mechanism, retry logic, data consistency validation
Scenario: Lead Data Corruption Detection
- Example: Database update script accidentally changes 500 lead email addresses to null values
- Test Case: System detects anomaly within 15 minutes, automatically rolls back changes, alerts admin team
- Expected: Data integrity monitoring, automated anomaly detection, rollback procedures
Scenario: Cross-System Data Sync Conflicts
- Example: Lead updates contact info in CRM while simultaneously updating same lead in external system via API
- Test Case: Conflict resolution uses last-write-wins with audit trail, user gets notification of conflict
- Expected: Conflict detection algorithms, merge strategies, audit logging
User Management & Security Scenarios
Authentication & Authorization
Scenario: Role-Based Access During Team Reorganization
- Example: Sales rep transfers to marketing team, needs access to campaign creation but should lose access to sales pipeline data
- Test Case: Role change takes effect immediately, old permissions revoked, new permissions granted, audit trail maintained
- Expected: Granular permission system, immediate role updates, access audit logging
Scenario: Multi-Factor Authentication Failure
- Example: User's phone is lost/broken, can't receive MFA codes, needs emergency access during critical campaign launch
- Test Case: Admin can temporarily bypass MFA with approval workflow, emergency access expires in 24 hours
- Expected: Emergency access procedures, admin override capabilities, security audit compliance
Scenario: Session Management During System Updates
- Example: System maintenance requires restart while 25 users are actively working on campaigns
- Test Case: Users get 15-minute warning, work auto-saves, seamless re-authentication after restart
- Expected: Graceful session handling, auto-save functionality, maintenance mode communication
Data Privacy & Compliance
Scenario: GDPR Data Export Request
- Example: EU lead requests complete data export including all email interactions, campaign touches, and scoring history
- Test Case: System generates comprehensive report within 72 hours, includes all related data, maintains audit trail
- Expected: Data discovery automation, export format standardization, compliance workflow tracking
Scenario: Data Retention Policy Enforcement
- Example: System automatically archives lead data older than 7 years but preserves analytics aggregates for reporting
- Test Case: Individual records archived, aggregated data preserved, no impact on historical reports
- Expected: Automated archival processes, data lifecycle management, reporting continuity
Scenario: Consent Management Integration
- Example: Lead withdraws email consent via preference center, system must stop all marketing emails but preserve sales communications
- Test Case: Consent change propagates to all campaigns within 5 minutes, existing queued emails suppressed
- Expected: Real-time consent updates, granular consent types, suppression list management
Integration Layer Scenarios
SendGrid Email Service Integration
Scenario: Webhook Processing During High Volume
- Example: 50,000 email campaign generates 500 webhook events per minute (opens, clicks, bounces, unsubscribes)
- Test Case: All webhooks processed within 30 seconds, engagement data updates in real-time, no data loss
- Expected: Webhook queue management, retry logic for failures, idempotency handling
Scenario: Email Template Synchronization
- Example: Marketing team updates email template in CRM, changes must sync to SendGrid maintaining merge field mappings
- Test Case: Template updates in SendGrid within 2 minutes, merge fields validated, test emails work correctly
- Expected: Template versioning, merge field validation, sync status tracking
Scenario: Deliverability Monitoring & Alerts
- Example: Email deliverability drops from 98% to 85% over 2 days due to spam complaints
- Test Case: System detects trend, alerts marketing team, provides detailed bounce/complaint analysis
- Expected: Deliverability monitoring, automated alerting, detailed failure analysis
External API Integrations
Scenario: Lead Enrichment Service Rate Limiting
- Example: Data enrichment API allows 100 requests/minute, but system needs to enrich 500 new leads simultaneously
- Test Case: System queues requests, processes within rate limits, shows progress to users, completes within 10 minutes
- Expected: Rate limiting compliance, queue management, progress tracking
Scenario: Calendar Integration for Demo Scheduling
- Example: High-scoring lead wants to schedule demo, system integrates with sales rep's Google Calendar to show availability
- Test Case: Real-time availability shown, booking confirms in both systems, prevents double-booking
- Expected: Calendar API integration, conflict prevention, two-way sync
Scenario: CRM-to-Sales Tool Data Sync
- Example: Qualified lead handoff to Salesforce requires complete data transfer including scoring, interaction history, and campaign attribution
- Test Case: All data transfers accurately, maintains relationships, creates proper Salesforce objects
- Expected: Complete data mapping, relationship preservation, error handling
Performance & Scalability Scenarios
Database Performance Under Load
Scenario: Complex Query Optimization
- Example: Executive requests lead attribution report requiring joins across leads, campaigns, emails, and deals tables (2M+ records each)
- Test Case: Query executes within 30 seconds, doesn't impact other system operations, results are accurate
- Expected: Query optimization, database indexing strategy, resource isolation
Scenario: Concurrent User Operations
- Example: 50 users simultaneously creating campaigns, updating leads, and running reports during peak hours
- Test Case: All operations complete within normal response times, no data conflicts, system remains stable
- Expected: Connection pooling, transaction isolation, deadlock prevention
Scenario: Data Growth Impact on Performance
- Example: Database grows from 100K to 1M leads over 6 months, query response times must remain under 5 seconds
- Test Case: Performance monitoring shows no degradation, automated optimization recommendations provided
- Expected: Performance monitoring, automatic indexing, data archival strategies
Auto-Scaling & Resource Management
Scenario: Traffic Spike from Viral Content
- Example: Company blog post goes viral, generates 10x normal website traffic and 5,000 form submissions in 2 hours
- Test Case: System auto-scales to handle load, all leads captured, response times under 3 seconds
- Expected: Auto-scaling infrastructure, load balancing, performance monitoring
Scenario: Campaign Execution Resource Planning
- Example: Simultaneous execution of 5 large campaigns (10K+ recipients each) requires careful resource allocation
- Test Case: System schedules campaigns to prevent resource conflicts, maintains performance for other operations
- Expected: Resource allocation algorithms, campaign scheduling optimization, priority management
Scenario: Backup and Disaster Recovery
- Example: Primary database server failure during active campaign execution affecting 15,000 leads in flight
- Test Case: Failover to backup server within 5 minutes, no data loss, campaigns resume from exact stopping point
- Expected: Hot standby systems, automatic failover, state preservation
Error Handling & Recovery Scenarios
Campaign Failure Recovery
Scenario: Mid-Campaign Template Corruption
- Example: Email template gets corrupted during campaign execution after 2,000 emails sent, remaining 8,000 fail with merge errors
- Test Case: System detects template issues, pauses campaign, allows template fix, resumes from exact stopping point
- Expected: Error detection, campaign pause/resume, state management
Scenario: Lead Scoring Calculation Errors
- Example: Algorithm update introduces bug causing negative lead scores for 500 leads currently in sales pipeline
- Test Case: System detects anomaly, rolls back scoring changes, alerts admin team, provides impact analysis
- Expected: Score validation, automatic rollback, impact assessment
Scenario: Data Import Validation Failures
- Example: CSV import contains 5,000 leads but 500 have invalid email formats, 200 have missing required fields
- Test Case: System processes valid records, provides detailed error report, allows fixing and re-import of failed records
- Expected: Partial import capability, detailed error reporting, data fixing workflows
System Recovery Procedures
Scenario: Database Corruption After Hardware Failure
- Example: Storage failure corrupts lead database during peak usage, affecting 50,000 lead records
- Test Case: System detects corruption, initiates restore from latest backup, validates data integrity, completes within 2 hours
- Expected: Corruption detection, automated recovery, data validation
Scenario: Campaign State Recovery After Outage
- Example: 4-hour system outage affects 10 running campaigns in various stages of execution
- Test Case: System analyzes campaign states, resumes each from correct checkpoint, prevents duplicate sends
- Expected: Campaign state persistence, recovery procedures, duplicate prevention
Scenario: Lead Assignment Recovery
- Example: System crash during lead routing leaves 200 leads in "assigning" state without assigned sales reps
- Test Case: Recovery process detects orphaned leads, re-runs assignment algorithm, notifies affected reps
- Expected: Orphan detection, state recovery, notification systems
User Experience Scenarios
Mobile Application Performance
Scenario: Campaign Creation on Mobile Device
- Example: Marketing manager creates email campaign using tablet while traveling, including template selection and audience segmentation
- Test Case: Full campaign creation functionality available, interface responsive, campaign saves properly
- Expected: Mobile-optimized interfaces, feature parity, reliable state management
Scenario: Lead Management During Poor Connectivity
- Example: Sales rep at trade show with intermittent WiFi needs to update lead information and log interactions
- Test Case: App queues changes locally, syncs when connectivity improves, shows clear offline/online status
- Expected: Offline capability, sync conflict resolution, status indicators
Scenario: Dashboard Access on Low-End Devices
- Example: Executive using older smartphone needs to check campaign performance during board meeting
- Test Case: Dashboard loads within 10 seconds, core metrics visible, interactive elements work properly
- Expected: Progressive loading, performance optimization, accessibility compliance
Admin Interface Operations
Scenario: Bulk User Management
- Example: IT admin needs to update permissions for 50 users after company reorganization
- Test Case: Bulk operations complete within 5 minutes, changes take effect immediately, audit trail maintained
- Expected: Batch processing, immediate updates, comprehensive logging
Scenario: System Configuration During Live Operations
- Example: Admin updates lead scoring algorithm while campaigns are running and users are actively working
- Test Case: Configuration changes deploy without system restart, existing operations continue unaffected
- Expected: Hot configuration updates, zero-downtime deployment, rollback capability
Scenario: Data Export for Compliance Audit
- Example: Legal team requests complete export of all lead interactions for regulatory audit
- Test Case: Export generates within 24 hours, includes all required data, maintains data relationships
- Expected: Comprehensive export capability, data integrity preservation, audit trail
Business Logic Scenarios
Lead Lifecycle Management
Scenario: Lead Status Progression Validation
- Example: Lead automatically progresses from "New" → "Qualified" → "Sales Accepted" based on score and activities
- Test Case: Status changes trigger appropriate workflows, notifications sent to relevant teams, audit trail maintained
- Expected: State machine validation, workflow triggers, comprehensive logging
Scenario: Duplicate Lead Merge Operations
- Example: Same person submits forms on company website and partner website, creating two lead records
- Test Case: System detects duplicates, suggests merge, preserves all interaction history, maintains campaign attribution
- Expected: Intelligent duplicate detection, merge conflict resolution, history preservation
Scenario: Lead Nurture Sequence Management
- Example: Lead enters 6-email nurture sequence but unsubscribes after email 3
- Test Case: Sequence stops immediately, lead status updated, suppression rules applied to future campaigns
- Expected: Real-time sequence control, status synchronization, suppression management
Campaign Business Rules
Scenario: Budget-Based Campaign Limits
- Example: Campaign set with $5,000 budget limit, email costs $0.50 per send, should stop at 10,000 sends
- Test Case: Campaign automatically stops at budget limit, remaining audience gets queued for next period
- Expected: Real-time budget tracking, automatic stopping, queue management
Scenario: Compliance-Based Content Restrictions
- Example: Campaign targeting EU leads must include GDPR-compliant unsubscribe links and privacy notices
- Test Case: System validates compliance before sending, blocks non-compliant campaigns, provides correction guidance
- Expected: Compliance validation, automatic blocking, guidance systems
Scenario: Lead Qualification Scoring Thresholds
- Example: Lead scoring reaches 85 (threshold: 80), should auto-assign to sales rep and trigger immediate notification
- Test Case: Assignment happens within 1 minute, rep gets mobile notification, lead status updates appropriately
- Expected: Real-time threshold monitoring, immediate assignment, multi-channel notifications
Advanced Integration Scenarios
AI/ML Model Integration
Scenario: Predictive Lead Scoring Model Updates
- Example: Monthly model retraining improves accuracy from 82% to 87%, needs deployment without service interruption
- Test Case: New model deploys seamlessly, A/B tests against old model, gradual rollout based on performance
- Expected: Model versioning, A/B testing framework, gradual deployment
Scenario: Campaign Optimization Recommendations
- Example: AI analyzes 100,000 historical campaigns to recommend optimal send times for new campaign
- Test Case: Recommendations generated within 30 seconds, include confidence scores, integrate with campaign scheduler
- Expected: Real-time ML inference, confidence scoring, seamless integration
Scenario: Churn Prediction Model Integration
- Example: Customer engagement pattern analysis identifies 50 leads at risk of going dormant
- Test Case: Risk scores update daily, trigger automated re-engagement campaigns, track intervention effectiveness
- Expected: Automated risk assessment, trigger-based campaigns, effectiveness tracking
Third-Party Platform Integrations
- Example: LinkedIn campaign generates 200 leads, data must sync to CRM with proper attribution and source tracking
- Test Case: All leads import with complete LinkedIn interaction data, attribution preserved, no duplicates created
- Expected: Platform-specific data mapping, attribution preservation, duplicate prevention
Scenario: Event Management Platform Integration
- Example: Webinar platform sends 500 attendee records with engagement data (attended, questions asked, polls answered)
- Test Case: Engagement data enriches lead profiles, triggers appropriate follow-up campaigns, updates lead scores
- Expected: Rich data integration, automated enrichment, score updates
Scenario: Customer Support System Sync
- Example: Lead submits support ticket before becoming customer, interaction history should be available to sales team
- Test Case: Support interactions visible in CRM timeline, influence lead scoring, provide context for sales calls
- Expected: Cross-system timeline integration, scoring impact, contextual information