weekly-operations.mdβ’16.4 kB
# Weekly Operations Workflows: Strategic CRM Management
*Master your weekly CRM operations routine to maintain data excellence, optimize processes, and drive strategic business intelligence.*
## π
The Weekly Operations Cycle
### π Monday: Fresh Start & Strategic Planning
**π Monday Morning System Health Check (30 minutes)**
```
Start the week with comprehensive system status:
- Weekend activity summary and any alerts
- Data quality metrics vs last week's baselines
- Integration health and sync status
- User activity patterns and adoption metrics
- Performance indicators and any bottlenecks
- Priority issues requiring immediate attention
Create my Monday action plan based on system status.
```
**π Weekly KPI Dashboard Setup (20 minutes)**
```
Establish this week's operational benchmarks:
- Data quality scores (completeness, accuracy, consistency)
- System performance metrics (response times, error rates)
- User engagement levels (logins, feature usage, data entry)
- Integration success rates and data sync metrics
- Process efficiency measures (time-to-complete key workflows)
Set weekly improvement targets for each metric.
```
**π― Strategic Priority Setting (25 minutes)**
```
Based on business priorities and system analysis, identify this week's focus:
- Critical data cleanup projects to prioritize
- Process improvements with highest ROI potential
- Integration optimizations needed
- User training or adoption initiatives
- Report and analytics development priorities
Create weekly operational roadmap with success criteria.
```
---
### π§ Tuesday: Data Quality & Hygiene Deep Dive
**π§Ή Systematic Data Review & Cleanup (45 minutes)**
**Step 1: Companies Missing Key Information (15 mins)**
```
Search for companies missing website URLs and show me the first 20 results.
Include company name, industry if available, and any contact information we have.
Help me prioritize which ones are most important to research and update based on recent activity or deal potential.
```
**Step 2: People Without Complete Contact Info (15 mins)**
```
Find people records that have phone numbers but are missing email addresses.
Show me their name, company, job title, and phone number.
Limit to 15 results and prioritize by company value or recent interactions.
```
**Step 3: Recent Records Needing Attention (15 mins)**
```
Show me all companies and people added in the last 7 days that might need additional information.
Focus on records with minimal data that could be easily enhanced through research or outreach.
Create a task list for data completion priorities.
```
**π Advanced Duplicate Detection (30 minutes)**
```
Identify sophisticated duplicates using multiple matching criteria:
- Fuzzy name matching with different formats
- Email domain matching for company relationships
- Phone number pattern analysis
- Address and location similarity
- Website domain cross-references
For each potential duplicate pair, recommend merge priority and methodology.
```
**β‘ Batch Data Enhancement (60 minutes)**
```
Execute systematic data enrichment:
- Company information updates from public sources
- Contact information validation and enhancement
- Industry classification standardization
- Geographic data normalization
- Social media profile linking
Track enhancement success rates and data quality improvements.
```
---
### π Wednesday: Record Review & Relationship Mapping
**π Weekly Pipeline Review (30 minutes)**
**Step 1: Deal Status Check**
```
Show me all open deals and their current status.
Include company name, deal value, stage, last activity date, and assigned owner.
Help me identify which deals haven't been updated in over a week and need attention.
```
**Step 2: High-Value Account Analysis**
```
Find companies with deal values over $10,000 that have multiple contacts.
Show me all the people associated with each high-value company and their roles.
Help me identify relationship gaps where we should add more contacts.
```
**β‘ Contact Relationship Mapping (45 minutes)**
**Step 1: Company Contact Coverage**
```
Show me companies where we have 2+ deals but only 1 contact person.
Include company name, total deal value, and the single contact we have.
Prioritize by deal value and help me identify where we need broader relationships.
```
**Step 2: Contact Information Updates**
```
Find people who work at companies we've had recent activity with, but whose contact information might be outdated (added more than 6 months ago).
Focus on companies with active deals or recent meetings.
Create a list for contact verification and updates.
```
**π― List Management & Organization (40 minutes)**
**Step 1: List Health Check**
```
Review all active lists in our CRM and show me:
- List names and entry counts
- Last time each list was updated
- Lists that might have outdated or irrelevant entries
Help me identify which lists need cleaning or consolidation.
```
**Step 2: Prospect List Updates**
```
Show me prospects in our active target lists who haven't been contacted in 30+ days.
Include their company, contact info, and any notes about previous interactions.
Help me prioritize re-engagement based on company value and previous response levels.
```
---
### π Thursday: Integration Management & Automation
**π Integration Health Monitoring (35 minutes)**
```
Comprehensive integration ecosystem review:
Email Marketing Platforms:
- Sync accuracy and timing
- List segmentation integrity
- Campaign performance data flow
- Unsubscribe and preference management
Customer Support Systems:
- Ticket creation and resolution sync
- Customer satisfaction data integration
- Knowledge base content linkage
- Escalation workflow effectiveness
Accounting/Billing Systems:
- Revenue recognition accuracy
- Payment status synchronization
- Invoice and contract data alignment
- Subscription lifecycle tracking
Flag any integration issues and create resolution timeline.
```
**π€ Automation Workflow Optimization (50 minutes)**
```
Review and optimize automated workflows:
Lead Management:
- Lead routing accuracy and timing
- Qualification criteria effectiveness
- Follow-up sequence performance
- Lead scoring model accuracy
Deal Progression:
- Stage advancement automation
- Notification and alert effectiveness
- Task creation and assignment accuracy
- Approval workflow efficiency
Customer Lifecycle:
- Onboarding automation effectiveness
- Renewal reminder timing and impact
- Upsell opportunity identification
- Support escalation triggers
Identify automation gaps and improvement opportunities.
```
**π Custom Field & Configuration Review (25 minutes)**
```
Audit custom configurations and field utilization:
- Custom field usage rates and value
- Picklist value standardization needs
- Workflow rule effectiveness
- Security and permission optimization
- Report and dashboard relevance
Recommend configuration updates and cleanup opportunities.
```
---
### π Friday: Reporting, Planning & Team Enablement
**π Weekly Operational Report Generation (40 minutes)**
```
Create comprehensive weekly operational summary:
Data Quality Improvements:
- Records cleaned and enhanced this week
- Duplicate resolution achievements
- Data completeness improvements
- Integration sync success rates
System Performance:
- Response time improvements
- Error reduction achievements
- User adoption progress
- Feature utilization increases
Process Optimizations:
- Workflow efficiency gains
- Automation implementation results
- User productivity improvements
- Training impact measurements
Business Impact:
- Revenue operations support provided
- Sales team productivity gains
- Customer success enablement results
- Executive reporting delivered
Format for leadership review and team sharing.
```
**π― Next Week Planning & Priority Setting (30 minutes)**
```
Plan next week's operational focus based on:
- Unresolved issues from this week
- New business priorities and requirements
- System performance trends requiring attention
- User feedback and support requests
- Strategic initiatives and project deadlines
Create next week's operational roadmap with resource allocation.
```
**π₯ Team Enablement & Training Review (35 minutes)**
```
Assess team capability and support needs:
- User proficiency levels and training gaps
- Common support issues and resolution patterns
- Best practice adoption and sharing opportunities
- Tool utilization optimization potential
- Change management and communication effectiveness
Plan training initiatives and support improvements for next week.
```
---
## π― Monthly Deep Dive Operations
### π Monthly Strategic Review (First Monday of Month)
**π Comprehensive System Audit**
```
Conduct monthly comprehensive CRM audit:
- Data growth patterns and storage utilization
- User behavior trends and adoption analytics
- Integration performance and reliability trends
- Security compliance and access control review
- Backup and disaster recovery validation
- License utilization and optimization opportunities
Generate monthly system health report with strategic recommendations.
```
**π ROI and Value Assessment**
```
Calculate operational ROI and value creation:
- Time savings from automation implementations
- Data quality improvement business impact
- User productivity gains measurement
- Process efficiency improvements quantification
- Integration value and cost-benefit analysis
- Training investment returns
Create business case for continued operational investment.
```
### π Quarterly Strategic Planning (First Week of Quarter)
**π― Operational Roadmap Development**
```
Develop quarterly operational strategy:
- System capability expansion priorities
- Data governance and quality improvement initiatives
- Integration and automation development plans
- User experience and adoption enhancement programs
- Performance optimization and scalability preparations
- Compliance and security enhancement roadmap
Align operational priorities with business strategic objectives.
```
---
## π Specialized Weekly Workflows
### π New Implementation Support Week
**When rolling out new features or integrations:**
```
Support new implementation rollout:
- User training session coordination and effectiveness tracking
- Feature adoption monitoring and obstacle identification
- Support ticket volume and resolution for new capabilities
- Data migration accuracy and completeness validation
- Integration testing and performance monitoring
- Feedback collection and rapid issue resolution
Create implementation success metrics and improvement plans.
```
### π System Migration Week
**During major system changes or migrations:**
```
Manage system migration operations:
- Data backup and validation completion
- Migration accuracy testing and verification
- User access and permission validation
- Integration reconnection and testing
- Performance baseline establishment
- Rollback preparedness and contingency planning
Monitor migration success and address issues immediately.
```
### π Audit Preparation Week
**When preparing for audits or compliance reviews:**
```
Prepare comprehensive audit documentation:
- Data accuracy and completeness verification
- Process compliance validation and documentation
- Security access control and permission auditing
- Change management procedure evidence compilation
- Performance metric accuracy confirmation
- Backup and disaster recovery procedure validation
Create audit-ready documentation packages and evidence trails.
```
---
## β‘ Daily Micro-Workflows Within Weekly Structure
### π
Daily Morning Check (10 minutes)
```
Quick daily operational health check:
- Overnight system alerts and issues
- Integration sync status and any failures
- Critical user-reported issues
- Priority data quality alerts
- Performance anomalies or concerns
Triage immediate attention needs vs weekly planning integration.
```
### π Daily Evening Wrap (10 minutes)
```
End-of-day operational summary:
- Issues resolved today and remaining open
- Progress on weekly operational priorities
- User support provided and feedback received
- System performance observations
- Tomorrow's operational priorities
Update weekly progress tracking and identify adjustments needed.
```
---
## π Key Performance Indicators (KPIs)
### π Weekly Operational Metrics
```
Track these KPIs weekly:
Data Quality:
- Data completeness percentage (target: >95%)
- Duplicate record rate (target: <2%)
- Data accuracy score (target: >98%)
- Record enhancement rate (target: steady improvement)
System Performance:
- Average query response time (target: <2 seconds)
- System uptime percentage (target: >99.5%)
- Integration sync success rate (target: >99%)
- User error rate (target: decreasing trend)
User Adoption:
- Active user percentage (target: >80%)
- Feature utilization rate (target: increasing)
- Training completion rate (target: >90%)
- User satisfaction score (target: >8/10)
Process Efficiency:
- Average task completion time (target: decreasing)
- Automation success rate (target: >95%)
- Issue resolution time (target: <24 hours)
- Change request implementation time (target: <1 week)
Generate weekly KPI dashboard showing trends and areas needing attention.
```
---
## π§ Troubleshooting Weekly Challenges
### π When Data Quality Scores Drop
**Root Cause Analysis:**
```
When data quality metrics decline:
1. Identify which data types/sources are driving the decline
2. Analyze user behavior changes or training gaps
3. Check integration accuracy and sync issues
4. Review recent process changes or system updates
5. Assess data entry workflow modifications
Create immediate corrective action plan and preventive measures.
```
### β οΈ When System Performance Degrades
**Performance Recovery Protocol:**
```
Address performance issues systematically:
1. Identify peak usage patterns and bottlenecks
2. Analyze query complexity and optimization opportunities
3. Review integration load and timing optimization
4. Check data volume growth and archival needs
5. Assess hardware/infrastructure capacity
Implement immediate performance improvements and long-term scalability plan.
```
### π₯ When User Adoption Stalls
**Adoption Acceleration Strategy:**
```
Boost user engagement and adoption:
1. Identify specific adoption barriers and user feedback
2. Analyze feature utilization patterns and gaps
3. Assess training effectiveness and knowledge retention
4. Review change management communication impact
5. Evaluate user experience and workflow efficiency
Create targeted adoption improvement initiatives and success measurements.
```
---
## π‘ Pro Tips for Weekly Operations Excellence
### 1. **Focus on Trends, Not Just Snapshots**
Instead of: "Data quality is 94% this week"
Try: "Data quality improved from 91% to 94% over 4 weeks, with strongest gains in company information completeness"
### 2. **Predict and Prevent Rather Than React**
Use pattern analysis to identify issues before they impact users or business operations.
### 3. **Measure Impact, Not Just Activity**
Track how operational improvements translate to business outcomes and user productivity gains.
### 4. **Communicate Strategically**
Translate technical improvements into business value language for stakeholder communication.
### 5. **Build Scalable Solutions**
Design processes and automation that can grow with increasing data volume and user adoption.
---
## π― Next Steps
1. **Establish Baseline**: Start with comprehensive Monday health check to establish current state
2. **Implement Gradually**: Begin with one day's workflow and expand systematically
3. **Customize for Your Context**: Adapt workflows based on your specific system and business needs
4. **Track Progress**: Monitor weekly improvements and adjust focus areas accordingly
5. **Scale Success**: Share effective operational practices across teams and organizations
**Remember**: Consistent weekly operations excellence creates the foundation for sustainable business growth and user satisfaction. Small, systematic improvements compound into significant competitive advantages.
---
*π― Need specific tactics? Check the [Operations Playbook](../playbooks/operations-playbook.md). Supporting sales teams? See the [Daily Sales Workflows](daily-sales-workflows.md).*