Most common mistake: Modernization mishandled as just another IT tick box - merely changing technology without revamping processes, ownership, or metrics, resulting in the organization essentially shipping the same problems but with a new shine. One step every C-level should take first: Choose one quantifiable business result (a genuine guiding light) along with a definite end date for the old system and ensure that every architectural and budget decision moves only toward that metric. Why projects miss ROI: Teams rebuild code but not the operating model — with no telemetry, training, or decommission plan, you pay to run two systems and never capture the promised savings. Make it smooth for large teams: Move in small, end-to-end slices owned by a single team, ship behind feature flags/canaries, and treat each slice as a tiny product so learning scales without chaos. Best, Cache Merrill Founder | Zibtek https://www.zibtek.com/
Too many modernization projects just rebuild old inefficiencies on new tech—it's like putting new paint on an old house. If upgrades aren't tied directly to revenue, risk, customer impact, and the people who have to live with the change, ROI disappears fast. Large teams succeed when executives anchor every step in business value, keep explaining the 'why,' manage the change for people as much as for systems, and prove real progress along the way.
Pick your flavor of project management (there are plenty to choose from) but whether you call it Agile, Waterfall, whatever, make sure the people who need the product are on the team. Not near the team, not advising the team, not giving requirements and checking in quarterly; on the team as part of their daily work.
The biggest mistake I've seen in app modernization is treating it like a simple tech refresh instead of a business upgrade. I've worked on projects where the app was rebuilt and looked new, but conversion rates and CAC stayed the same because the work wasn't tied to revenue goals. The first step every exec should take is to pick one KPI and make all decisions flow from it. For me that's usually page speed or funnel drop-off because both link directly to revenue. Even a small bump in speed can lift conversions and lower CPC without extra ad spend. Most projects fail to deliver ROI because adoption is ignored. A system can look modern and run fine, but if people don't feel their daily work getting easier, they go back to old habits. ROI only shows up when the upgrade cuts friction and saves time. For large teams, the smoothest modernizations start with quick wins. Fix one bottleneck that everyone feels, deliver results, and build momentum from there. When people see even a small boost in efficiency, it becomes easier to roll out the bigger changes. Name: Josiah Roche Title: Head of Marketing Company: JRR Marketing LinkedIn: https://www.linkedin.com/in/josiahroche
Unbundle data ownership and lock data contracts, and do not touch a pixel until that is complete. A team [that] was continuously re-working on the UI but never owned contracts retreated for nine months; after we gave them a data product owner, published versioned schemas and CDC paths, and added contract tests into CI, their incidents dropped 40% and the cut-over was complete in 10 weeks. As a co-founder at all-in-one-ai.co, I see UI wins only stick when data is well understood, with owners, SLAs and versioning. My advice would be, write the contract first (owner + SLA + version), run 5-10% shadow traffic against it for two weeks with auto-rollback, and block all UI tickets until you have a green contract test suite. Glad to provide more information on what we do if that's helpful. Website: https://all-in-one-ai.co/ LinkedIn: https://www.linkedin.com/in/dario-ferrai/ Headshot: https://drive.google.com/file/d/1i3z0ZO9TCzMzXynyc37XF4ABoAuWLgnA/view?usp=sharing Bio: I'm the Chief Marketing Officer of all-in-one-AI.co. I build AI tooling and infrastructure with security-first development workflows and scaling LLM workload deployments. Best, Dario Ferrai
Speaker and Author of Conscious Business Ethics The Practical Guide to Wisdom
Answered 5 months ago
The most common mistake in app modernization is overlooking employee buy-in. While leaders typically focus on technical aspects, the intentions and attitudes of your staff who will use the new system are actually the most critical factor for success. Before embarking on any modernization project, securing genuine alignment from your team is essential to delivering long-term value.
The most significant error in modernizing an app is to recreate all the old functionalities without keeping track of their adoption, which in most instances wastes useful resources in features that are not used frequently. In a single project, the usage tracking revealed that 9 out of 22 modules had fewer than one month of use, and their elimination saved several months of development. Executives that start modernization by beginning with a usage audit realize quicker adoption and quantifiable returns than taking inefficiencies into a new system.
The biggest mistake I see is treating modernization like a cosmetic upgrade instead of workflow transformation. When we built Tutorbase, I learned that real ROI comes from eliminating broken processes, not just digitizing them with prettier interfaces.
One step every C-level executive should take before upgrading is asking how the modernization will support both customer experience and team workflows. At Lusha, we evaluated CRM upgrades by measuring how much easier it made our sales reps' daily tasks before even thinking about scale. Keeping upgrades tied to real day-to-day usage helps avoid wasted features and earns faster adoption from large teams.
Most modernization projects fail ROI because leaders underestimate the human side of change management. At Unity, I learned that even the best technical upgrade means nothing if your team can't adopt the new workflows effectively.
The biggest mistake I see is trying to modernize everything at once instead of taking a phased approach. When I scaled Vodien, we started with non-critical systems first, which let us iron out processes before touching anything mission-critical.
Modernization projects often fail because companies migrate historical financial data without testing how the new system interprets the data, a procedure that often skews forecasts. In one upgrade, 800 invoices handled by both systems indicated a 2 percent difference related to vendor coding errors that led to dozens of inaccurate payment entries. Running shadow accounting 60 to 90 days before launch reveals these issues early in the process and makes the transition much smoother.