1. Initial Setup and Learning
Getting Started:
- Watch the Create Tasks and Complete Tasks training videos before creating your first tasks
- Create 2-3 practice tasks manually to understand the workflow
- Test the complete process from task creation to approval before full deployment
- Create test tasks where you assign yourself as both collector and approver to experience the full assignee workflow
Early Planning:
- List all facilities and their respective fuel types/requirements
- Identify key stakeholders (Data Collectors, Data Approvers, facility contacts)
- Map out your data collection timeline with appropriate buffers
2. User Management and Access Control
Identifying Stakeholders:
- Identify Data Collectors and Data Approvers as early as possible
- Maintain segregation of duties by using different individuals for collection and approval roles on the same task
- If applicable, provide SSO access to the Metrio platform immediately upon identification
- Create more users than initially needed to allow for quick pivoting
Setting Up Restricted Access via User Management:
- Consult the user management article
- Assign Data Collectors and Approvers no roles in the Data Sources module unless they have specific responsibilities requiring access (e.g., user acceptance testing, task configuration, or dual-role users like Global Admins who also serve as Data Approvers)
- Other Modules: Grant access to additional modules only when justified by business requirements and following proper approval processes (e.g., Publisher report)
- Use role-based access control to limit system exposure and reduce confusion
Note: Users assigned no roles in all Metrio modules will only have access to the 'My Tasks' whith task steps assigned to them.
Handling Uncertainty:
- When unsure about specific assignees, assign multiple users to the same task step
- Allow multiple assignees to coordinate among themselves for task completion
- This provides flexibility while ensuring task coverage
3. Training and Documentation
Training Sessions:
- Use the Complete Tasks training video to understand how to train Data Collectors and Approvers.
- Data Collectors Training: Cover manual data entry, import functions, comment tagging, progress saving vs. final submission
- Data Approvers Training: Focus on data validation, reasonableness checks, feedback processes, and finalization responsibilities
- Record all training sessions for future reference and onboarding
Multilingual Support:
- Provide training sessions in relevant languages for diverse teams
- Ensure key instructions and documentation are available in multiple languages
Key Training Points:
- Emphasize that submitted tasks cannot be edited by collectors
- Train approvers on their ability to re-enable data entry or reassign tasks
- Clarify the distinction between "0 consumption" and "data not available"
4. Task Configuration and Instructions
Clear Task Instructions:
- Add comprehensive collection information instructions at the Data Source level which becomes visible in the task (refer to screenshots hereunder).
- Include specific examples of expected data formats and entries
- Attach supplementary documents (ex: PDFs) for region-specific or facility-specific guidance
- Specify requirements for attachments (row-level vs. comment section)
- Provide clear guidance for handling missing or unavailable data
Optimized Task Setup:
- Use attribute parameters to pre-filter dropdown options (e.g., facility + fuel type + year)
- Create one task per facility rather than multi-facility tasks for better workflow management
- This allows partial completion and reduces bottlenecks
5. Communication and Monitoring
Proactive Communication:
- Don't rely solely on Metrio's automated notifications
- Export task lists to identify pending assignees and send personalized reminders
- Establish a regular reminder cadence that suits your organization's needs
- Use direct, personalized communication to avoid spam folder issues
Collaborative Features:
- Train users on comment section functionality for questions and clarifications
- Encourage approvers to use comments for requesting additional context
- Establish clear communication protocols between collectors and approvers
6. Quality Control and Approval Process
Data Validation Standards:
- Train approvers to verify fuel type/unit combinations make sense
- Establish reasonableness checks for data values
- Create clear criteria for when to approve, reject, or request clarification
Approval Workflow Options:
- Approvers can re-enable data entry for corrections
- Approvers may make direct edits when time-sensitive
- Establish escalation procedures for complex data issues
7. Risk Management and Contingency Planning
Buffer Planning:
- Always assume some users will miss deadlines
- Build appropriate time buffers before actual reporting deadlines
- Define acceptable levels of missing data (e.g., 10% of facilities)
Contingency Strategies:
- Develop procedures for handling late submissions
- Create backup plans for critical facility data
- Establish clear protocols for data gap management
8. Continuous Improvement
Regular Review:
- Monitor task completion rates and identify bottlenecks
- Gather feedback from collectors and approvers after each cycle
- Analyze common issues and update training materials accordingly
Process Optimization:
- Review and refine task instructions based on user feedback
- Optimize attribute parameters based on actual usage patterns
- Streamline communication processes based on what works best for your team
9. Best Practices for Large-Scale Implementation
Phased Rollout:
- Start with a pilot group of facilities and users
- Scale gradually based on lessons learned
- Maintain flexibility in user assignments during initial phases
Documentation Maintenance:
- Keep training materials updated based on system changes
- Maintain clear documentation of your organization's specific workflows
- Create quick reference guides for common tasks and issues