Your Epicor Improvement List Keeps Growing. What Should You Fix First?
A growing Epicor backlog should be prioritized by business consequence, recurrence, workaround cost, control risk and dependency—not by the loudest requester or the easiest build.
The short answer
Prioritize an Epicor improvement backlog by business consequence, recurrence, control risk and dependency—not by who asks loudest or which request looks easiest to build. Separate defects from process problems, reporting gaps, usability friction, regulatory needs and strategic improvements. Then score each item against measurable operational impact, number of users or sites affected, workaround effort, data/control risk, technical dependency and readiness to implement. A good backlog should make the next best decision obvious while protecting the ERP from a stream of disconnected enhancements.
How this connects to the pillar
This article is part of the Epicor continuous-improvement framework. Continuous improvement needs a controlled way to convert user pain points and business goals into a sequence of changes. Without prioritization, the backlog becomes a waiting room rather than a management tool.
The backlog is evidence about the operating model
A long improvement list is not automatically a sign that Epicor is failing. Mature ERP environments generate demand because the business keeps changing. New customers, sites, products, reporting expectations, warehouse processes and service models create legitimate requests. The problem begins when the organization cannot distinguish strategic change from recurring friction caused by weak process, data or ownership.
Look at the backlog as a diagnostic source. If many requests relate to the same master-data field, the root issue may be ownership rather than screen design. If every site requests a different version of the same report, the problem may be KPI definition. If warehouse users keep asking for shortcuts, the transaction may be too far from the point of work. The list becomes more useful when requests are grouped by underlying cause.
Separate request types before scoring them
Do not place every item into one undifferentiated priority queue. First classify it. A practical set of categories includes:
- production defect or system failure;
- compliance or control requirement;
- data-quality or ownership problem;
- process-standardization issue;
- reporting or management-visibility gap;
- user-experience or transaction-friction issue;
- integration dependency;
- strategic capability or new business requirement;
- temporary workaround that needs retirement.
Classification changes the decision path. A critical defect may require immediate action. A reporting request may need definition work before development. A usability issue might be better solved with training or a mobile workflow. A strategic requirement may need architecture review because it affects several processes or sites.
Score business consequence, not enthusiasm
The loudest request is often the one with the most visible champion, not the greatest value. Use a repeatable scoring model so management can compare unlike requests. Score each item against a small set of factors such as operational interruption, financial or control exposure, number of users or sites affected, frequency of the problem, hours spent on manual workaround, customer impact and strategic importance.
Keep the scale simple. The purpose is not mathematical precision. It is to force the conversation away from preference and toward consequence. If two requests receive similar scores, management can then consider implementation effort, dependency and timing.
Add recurrence to the decision
A small problem that occurs every day can matter more than a large inconvenience that happens twice a year. Record how often the issue happens and whether the same workaround is repeated across shifts, sites or departments. Recurrence also helps distinguish a one-off training problem from a structural design issue.
For example, a manual reconciliation performed by finance every month may look modest, but if it consumes several people, delays close and reflects a recurring data-definition disagreement, it deserves more attention than its ticket description suggests.
Measure workaround cost explicitly
Many improvement requests survive because the workaround is invisible. Users copy data to spreadsheets, rekey transactions, maintain shadow lists, send approval emails or ask one experienced person to interpret exceptions. Those activities consume time and create risk even when no formal incident is raised.
Estimate workaround effort in a practical way: people involved, frequency, elapsed delay and downstream correction. You do not need a perfect financial model. A credible estimate makes hidden operational cost visible enough for prioritization.
Identify dependency before promising a date
Some items cannot be implemented sensibly until another problem is solved. A new dashboard may depend on trusted KPI definitions. A planning enhancement may depend on master-data cleanup. A mobile workflow may require transaction ownership to be agreed. An upgrade-related request may be better deferred until the new release is in place.
Mark dependencies in the backlog so management understands why a high-value request may not be ready to start. This prevents the team from building around unresolved foundations.
Distinguish ready work from important work
Priority and readiness are different. An item can be highly important but poorly defined. Create a simple readiness check: clear owner, clear problem statement, evidence of impact, agreed target outcome, known process scope, identified dependencies and a business representative available for validation.
Items that are important but not ready should enter a short discovery track rather than being forced into development. This protects the delivery team from vague work while keeping strategic issues visible.
A practical backlog-prioritization framework
For each request, capture:
1. What business problem occurs today?
2. Which process and Epicor transaction are involved?
3. How often does it happen?
4. Which users, sites or regions are affected?
5. What workaround exists and what does it cost?
6. What control, data or customer risk exists?
7. Is the root cause process, data, configuration, integration or user experience?
8. Does standard Epicor capability already address the need?
9. What dependencies must be resolved first?
10. What measurable outcome would prove the change worked?
Then rank the item using business consequence and recurrence before considering effort. Effort matters, but it should not become the first filter. Otherwise the team may spend the year completing easy low-value enhancements while the real operating constraints remain untouched.
Use a balanced portfolio, not a single queue
A healthy improvement program usually needs a mix of work. Some capacity should address operational defects and control risks. Some should remove recurring manual effort. Some should prepare for upgrades or architecture changes. Some should support strategic growth. If one category consumes everything, the ERP can become stable but stagnant—or innovative but fragile.
Management can define broad allocation bands rather than rigid percentages. The point is to ensure urgent work does not permanently crowd out structural improvement.
What management should measure
Track backlog age, recurrence of deferred issues, number of requests without a clear owner, percentage of work linked to measurable outcomes, realized workaround reduction, reopened requests and the concentration of demand by process or site. A rising backlog is less concerning when low-value items are deliberately rejected and high-value items move through a visible decision process.
Also measure how many completed changes actually removed the underlying workaround. Delivery volume alone can be misleading. Ten enhancements that leave the same manual reconciliation in place are less valuable than one change that removes it completely.
ACC context
ACC’s long experience with Epicor, multi-region implementations and Epicor-connected extensions can be useful when a backlog contains a mixture of process, architecture and execution questions. The objective should not be to turn every request into customization. Sometimes the right answer is process standardization, data ownership, a report-definition change, an Epicor configuration, or a focused extension such as warehouse or mobile execution. Explore ACC.
Use rejected requests as governance evidence
A request does not disappear simply because management says no. Record why it was rejected or deferred. If the same request returns from several sites, the decision may need to be revisited. If it returns because users never understood the standard process, the real action may be training or adoption. Rejection reasons make the backlog a learning system rather than a list of closed tickets.
Review the backlog against the business calendar
Timing changes value. A planning improvement may be most useful before seasonal demand. A financial-control change may need to avoid year-end close. A warehouse enhancement may be better delivered before a new facility opens. An upgrade may create a natural point to retire obsolete reports or custom logic. Review priorities against known business events so technically sensible work is also operationally well timed.
Keep one visible decision record
Teams lose confidence when requests disappear into private spreadsheets, email chains or support queues. Maintain one management-visible record that shows the problem, owner, classification, priority, readiness, decision and next review date. The delivery tool can still be technical, but the decision record should be understandable to business leaders.
Operational review point
Take the ten oldest Epicor improvement requests and ask why each one is still open. If the answer is “nobody decided,” “requirements are unclear,” “another team owns part of it” or “the workaround is acceptable for now,” the backlog is exposing governance issues rather than development capacity alone. Convert those reasons into explicit decisions: discover, approve, defer with a review date, reject, or solve through a non-development action.
Frequently asked questions
Should the highest-value Epicor request always be done first?
Not necessarily. A high-value item may have unresolved dependencies or unclear ownership. Keep it highly ranked, but move it through discovery until it is ready for implementation.
How often should the improvement backlog be reviewed?
Operational triage can happen frequently, while management prioritization is usually more useful on a regular monthly or quarterly cadence depending on change volume.
Should small quick wins get priority?
They can be useful, but only when they do not crowd out high-impact structural work. “Easy to build” should not become the main definition of value.
How do we know whether a request needs customization?
Start with the business problem and check process, data, standard Epicor capability, configuration and integration before choosing custom development.