App Efficiency: 15% Cost Cut for 2026 Workflows

A recent Forrester report found that companies using process mining cut their operational costs by 15% on average in the first year alone. This is about fundamentally re-engineering how your apps work from the inside out, not just making small adjustments. If you want genuine workflow optimization, you have to understand the app’s actual operational flow, not just the one you designed on a whiteboard. So what data actually shows you the path to better app efficiency?

70% of User Journeys Deviate from the Designed Path

That 70% stat, which you hear all the time and is backed up by analysis from firms like Celonis, points to a huge disconnect in our work. We spend ages designing what we think is the perfect user flow, a straight line from launch to conversion. But process mining proves again and again that most users wander off our carefully built path. They backtrack, hit dead ends, get errors, or just give up. For instance, in a banking app we built for fast transfers, the analytics showed a clean three-step process. Process mining, however, showed that 40% of users were going to “Help,” then to “Account Details,” and only then starting the transfer. This directly signals user confusion or a button that’s in the wrong place. I saw this exact thing with a fintech client: users kept getting lost trying to set up recurring payments in a sub-menu, causing a 25% drop-off right at that step. If we hadn’t seen their actual click paths, we would’ve just thought they weren’t interested in the feature.

Average Task Completion Time Decreases by 20% with Process-Driven Redesign

When you can pinpoint and get rid of redundant steps or pointless wait times in an app’s workflow, the effect on user experience is instant and you can measure it. Think about a big enterprise resource planning (ERP) system where an employee has to approve an invoice. The designed flow might have three approvals. But process mining might show that the first approver always just forwards it to the second without even looking, or that a 15-second system lag happens between each step because of bad data retrieval. By combining the first two approvals into one or optimizing the database queries, you can cut minutes off every single transaction. A recent UiPath case study showed a manufacturing client cut their invoice processing time by 22% after applying process mining to their internal approval flows. That directly increases productivity and lowers overhead. The key is understanding the root cause of the slowness, whether it’s a person’s decision-making pattern, system latency, or just a workflow that doesn’t make sense.

55% of Reported Bugs are Workflow-Related, Not Code-Related

This figure (55%) usually catches dev teams off guard. We pour resources into unit tests, integration tests, and fixing code. But a huge chunk of user complaints and system failures come from how different, perfectly working code modules interact in a larger process. A user might say the “report generation” feature is broken. The code itself might be fine, but process mining could show that users consistently botch the date range format, which makes the report fail. The “bug” isn’t in the reporting code. It’s in the workflow that’s supposed to guide user input, or the total lack of error handling for bad input. This changes the job from just technical debugging to looking at the entire user journey. It means QA teams should be using process mining maps to guide their testing cycles instead of just relying on old-school test cases. Teams find edge cases and real user behaviors they would never think to put in a test script.

User Abandonment Rates Drop by 10-15% When Bottlenecks are Addressed

Every point of friction in your app is a chance for the user to leave. A confusing form, a slow-loading screen, an unexpected redirect, these things add up to frustration and abandonment. Process mining finds these exact friction points by visualizing event logs and showing where users are dropping off in huge numbers. For an e-commerce app, you might find that 12% of users abandon their cart right when they hit a mandatory “create account” step at checkout. The common response is to try and make the account creation flow better. But process mining might show that adding a “guest checkout” or a single sign-on (SSO) option makes that 12% drop disappear. It’s about understanding how much effort a user is willing to put in. I’ve seen this in practice. Clients have recovered millions in potential revenue by just re-ordering a few steps or offering an alternative at a critical moment.

Challenging the Conventional Wisdom: “More Features Mean More Value”

There’s this idea in app development that adding more features automatically increases an app’s value. Product managers think, “If we build it, they’ll use it.” Process mining shows this is wrong most of the time. We consistently find a huge percentage of features that are barely used, if ever. Worse, these dead-weight features clutter the UI and bloat the app, making the core workflows more complicated for everyone else. I’ve seen apps where an “advanced analytics” dashboard was only touched by 2% of users, but its existence forced the other 80% (who just wanted a basic report) to take extra navigation steps. Conventional thinking is all about feature parity with competitors or checking boxes for stakeholders. My experience from years of looking at event logs is that less is more. A simple app that does a few core things really well, with clean workflows, will always beat a feature-packed but clunky app. Real value is in how easily users can get their main task done, not how many options you throw at them. It’s a tough sell to some product managers, but the data is pretty clear.

The insights you get from process mining aren’t just for a report. They give you a direct, data-backed plan to make real improvements to app performance and user satisfaction. By seeing the journey users actually take, not the one we drew for them, companies can make their apps more efficient, cut operational costs, and build a much better digital product. You have to accept the reality of user behavior if you want your app to succeed.