Part of our Digital Transformation ROI series
Read the complete guideERP Change Request Management: Process, Prioritization, and Governance
After an ERP go-live, change requests flood in. Users want modifications, new features, additional reports, and workflow adjustments. Without a structured process, organizations face two equally bad outcomes: either every request gets implemented (creating an unstable, over-customized system) or no requests get addressed (creating frustrated users who revert to workarounds).
Effective change request management balances responsiveness with stability. This guide provides the process framework, prioritization methodology, and governance structure to manage ERP changes sustainably.
The Change Request Lifecycle
Stage 1: Request Submission
Every change request must include:
| Field | Description | Example |
|---|---|---|
| Requestor | Name and department | "Sarah Chen, AP Team Lead" |
| Request type | Bug fix, enhancement, new feature, configuration change | Enhancement |
| Business process affected | Which process and module | Accounts payable -- invoice processing |
| Current behavior | What happens today | "Manual three-way matching for all invoices" |
| Desired behavior | What should happen | "Automated matching for invoices under $5,000" |
| Business justification | Why this change matters | "Will save 15 hours/week of manual matching" |
| Urgency | How soon is this needed | "Before next month-end close" |
| Number of users affected | How many people this impacts | "4 AP staff + 12 approvers" |
Submission channels:
- Dedicated request form in the help desk system (preferred)
- Email to ERP support team (converted to ticket)
- Discussion in user group meetings (formalized into ticket)
Stage 2: Triage and Classification
Within 2 business days of submission, the ERP team classifies the request:
| Classification | Definition | SLA |
|---|---|---|
| Bug fix | System not working as designed or documented | 1-5 days based on severity |
| Configuration change | Adjustment to existing settings (no code change) | 5-10 business days |
| Enhancement | Extension of existing functionality | Evaluated in next review cycle |
| New feature | Capability that does not exist today | Evaluated in next review cycle |
| Training issue | User does not know how to use existing functionality | Redirect to training team |
| Out of scope | Not related to the ERP system | Redirect to appropriate team |
Stage 3: Impact Assessment
For configuration changes, enhancements, and new features, conduct an impact assessment:
Assessment dimensions:
| Dimension | Questions | Rating (1-5) |
|---|---|---|
| Business value | How many users benefit? How much time/cost saved? | |
| Technical complexity | How much development effort? Integration impact? | |
| Risk | What could break? Is this reversible? | |
| Testing effort | How extensive is testing needed? Regression risk? | |
| Dependencies | Does this require vendor involvement or other changes? |
Effort estimation:
| Size | Development Hours | Testing Hours | Total Effort | Typical Delivery |
|---|---|---|---|---|
| XS | 1-4 hours | 1-2 hours | <1 day | 1-2 weeks |
| S | 4-16 hours | 4-8 hours | 2-3 days | 2-4 weeks |
| M | 16-40 hours | 8-20 hours | 1-2 weeks | 4-8 weeks |
| L | 40-120 hours | 20-40 hours | 3-4 weeks | 8-16 weeks |
| XL | 120+ hours | 40+ hours | 4+ weeks | 16+ weeks (mini-project) |
Stage 4: Prioritization
Use a weighted scoring model to prioritize evaluated requests:
| Criteria | Weight | Score (1-5) | Weighted Score |
|---|---|---|---|
| Business impact (users x value) | 30% | ||
| Strategic alignment | 25% | ||
| Cost of delay (what happens if we wait) | 20% | ||
| Implementation risk (inverse) | 15% | ||
| Effort efficiency (value per hour) | 10% | ||
| Total | 100% |
Stage 5: Approval and Scheduling
Approval authority by size:
| Size | Approver | Budget Authority |
|---|---|---|
| XS-S | ERP Team Lead | Within operational budget |
| M | ERP Steering Committee | Requires line item approval |
| L | VP/Director + Steering Committee | Requires business case |
| XL | Executive Sponsor + Steering Committee | Requires formal project approval |
Scheduling approaches:
- Sprint-based: Group changes into 2-4 week sprints with fixed capacity
- Continuous: Address changes as capacity allows, prioritized by score
- Release-based: Bundle changes into quarterly releases with testing cycles
Stage 6: Implementation and Release
Change implementation workflow:
- Develop change in a non-production environment
- Unit test the change in isolation
- Integration test with related processes
- User acceptance testing by the requestor
- Document the change (configuration, training material update)
- Schedule deployment window
- Deploy to production
- Verify in production
- Close the change request with requestor confirmation
Governance Structure
ERP Steering Committee
Composition:
- Executive sponsor (typically CFO or COO)
- IT leadership
- Department representatives (Finance, Operations, Sales, HR)
- ERP team lead
Cadence: Monthly (bi-weekly during high-change periods)
Agenda:
- Review change request pipeline (new, in-progress, completed)
- Prioritize pending requests
- Review resource capacity and constraints
- Address escalations and conflicts
- Review system health and performance metrics
- Plan for vendor upgrades and patches
Change Advisory Board (CAB)
Composition:
- ERP team lead (chair)
- Technical lead
- Business analyst
- Security representative
- Quality assurance representative
Cadence: Weekly
Responsibilities:
- Review all changes scheduled for deployment
- Assess risk and approve deployment plans
- Review post-deployment validation results
- Manage rollback decisions
Managing Change Request Volume
Setting Expectations
Communicate these principles to the organization:
-
Not every request will be implemented. Some requests are not feasible, not aligned with strategy, or not worth the investment.
-
Timing is not guaranteed. A request approved in January may be scheduled for Q3 based on capacity and priority.
-
Workarounds are not failures. Sometimes the best solution is a documented workaround, not a system change.
-
Batch changes are more efficient. Individual deployments carry overhead. Batching related changes into releases reduces risk and effort.
Reducing Request Volume
- Better training reduces requests that stem from not knowing how to use existing features
- Documentation reduces repeated requests for the same information
- User groups allow users to share solutions and best practices
- Proactive optimization addresses common pain points before they generate individual requests
Metrics to Track
| Metric | Target | Red Flag |
|---|---|---|
| Average time from request to triage | <2 business days | >5 business days |
| Average time from approval to delivery (S) | <4 weeks | >8 weeks |
| Request backlog size | Stable or decreasing | Growing month-over-month |
| Request rejection rate | 10-20% | >40% (frustration) or <5% (no governance) |
| Post-deployment defect rate | <5% | >15% |
| User satisfaction with process | >3.5/5 | <3/5 |
Related Resources
- Post-Implementation ERP Optimization --- Broader optimization strategies
- ERP Training Program Design --- Reducing training-related change requests
- Change Management for SMBs --- Organizational change management
- ERP Project Budget Management --- Budgeting for ongoing changes
A well-managed change request process is the difference between an ERP that improves over time and one that stagnates after go-live. Invest in the governance structure, prioritization framework, and communication practices that keep your ERP evolving with your business. Contact ECOSIRE for help establishing ERP governance and optimization programs.
Written by
ECOSIRE TeamTechnical Writing
The ECOSIRE technical writing team covers Odoo ERP, Shopify eCommerce, AI agents, Power BI analytics, GoHighLevel automation, and enterprise software best practices. Our guides help businesses make informed technology decisions.
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