{"id":22067,"date":"2026-04-27T06:22:42","date_gmt":"2026-04-27T06:22:42","guid":{"rendered":"https:\/\/www.walkme.com\/blog\/?p=22067"},"modified":"2026-04-27T06:22:44","modified_gmt":"2026-04-27T06:22:44","slug":"software-adoption-roi","status":"publish","type":"post","link":"https:\/\/www.walkme.com\/blog\/software-adoption-roi\/","title":{"rendered":"How to Improve Software Adoption ROI"},"content":{"rendered":"\n

Software adoption ROI breaks down when the platform goes live but employees still struggle to complete work in it. The software may be deployed, licensed, and technically available, yet the business value stalls because people do not use it correctly, consistently, or at scale. WalkMe\u2019s The AI Reality Check: The State of Digital Adoption 2026<\/em><\/a> found that 40% of technology spend underperforms because of user adoption challenges<\/strong> and that organizations realize only 52% of broader enterprise software value<\/strong>.<\/p>\n\n\n\n

This article shows you how to diagnose where value is leaking, calculate the cost of poor adoption, and improve software adoption ROI with a practical five-step method. The key idea is simple: poor software adoption erodes value through license waste, slower workflows, higher support load, and delayed outcomes. If your teams lose time to friction, your ROI model is already under pressure. WalkMe\u2019s research shows employees lose 7.9 hours a week<\/strong> to friction, equal to 51 working days a year<\/strong>, and 47%<\/strong> of that lost time comes from missing guidance rather than broken tools.<\/p>\n\n\n\n

What you\u2019ll need to measure software adoption ROI<\/strong><\/h2>\n\n\n\n

Before you calculate software adoption ROI, you need a baseline that connects spend to actual workflow performance. That means collecting the costs you expected to justify at launch, then comparing them with what users are doing after deployment. WalkMe defines the execution gap as the distance between deployment and measurable value realization, which is exactly the gap your ROI model needs to surface.<\/p>\n\n\n\n

Start with a practical measurement set. You should gather license costs, training costs, support ticket volume, workflow completion times, usage rates, and business outcome metrics tied to the software. Do not stop at high-level system access data. WalkMe\u2019s research shows leaders often lack visibility into the environments they manage, estimating 35 apps<\/strong> are running when 661 apps<\/strong> are actually in use, a 1,789% visibility gap<\/strong>.<\/p>\n\n\n\n

You will also need alignment across IT, HR, operations, finance, and application owners before measurement begins. Why? Because software adoption ROI rarely sits in one function. Training costs may sit with HR, support tickets with IT, process performance with operations, and software spend with finance. If those teams do not agree on the expected value at launch and the actual performance after rollout, your analysis will be too narrow to trust.<\/p>\n\n\n\n

Step 1: Identify where adoption is failing<\/strong><\/h2>\n\n\n\n

Once your baseline is in place, the first job is to find where users are getting stuck. Software adoption problems rarely appear in a single headline metric. A login tells you someone opened the application. It does not tell you whether they completed the task correctly, used the right feature, or abandoned the process halfway through.<\/p>\n\n\n\n

That is why you should look beyond access data and focus on workflow behavior. WalkMe\u2019s research found that 29% of workers stop mid-task due to lack of guidance<\/strong>, while 33%<\/strong> say technology makes work more complicated and 45%<\/strong> say AI tools give generic answers. Even more telling, 53% of workers switch between two to three apps to complete a single task<\/strong>, and the average task spans 2.88 applications<\/strong>. Those are adoption signals, not just usability complaints.<\/p>\n\n\n\n

To improve software adoption ROI, prioritize the workflows that matter most to business performance. Focus on the tasks tied to productivity, compliance, employee experience, or service delivery. WalkMe found that employees lose 47%<\/strong> of friction time to missing guidance, 30%<\/strong> to cross-application fragmentation, and 23%<\/strong> to tools operating without context. If you measure only logins or active users, you will miss the workflows where ROI is actually being lost.<\/p>\n\n\n\n

Step 2: Calculate the ROI loss from poor adoption<\/strong><\/h2>\n\n\n\n

After you know where adoption is failing, you can translate the gap into financial terms. This is the point where software adoption ROI becomes real for leadership. Instead of saying adoption is weak, you show what that weakness is costing across productivity, support, training, and licenses.<\/p>\n\n\n\n

The most practical model uses four categories of loss:<\/p>\n\n\n\n

    \n
  • productivity loss from slower or abandoned workflows<\/li>\n\n\n\n
  • support cost from users needing help to complete routine tasks<\/li>\n\n\n\n
  • training inefficiency when employees forget what they learned before first use<\/li>\n\n\n\n
  • license waste when paid seats do not produce expected value<\/li>\n<\/ul>\n\n\n\n

    Start with productivity because it is usually the largest source of hidden loss. WalkMe found that employees lose 7.9 hours per week<\/strong> to friction, which adds up to 51 working days per year<\/strong>. At the company level, its research estimates $72 million<\/strong> in annual cost from employee time lost to friction and $142 million<\/strong> in total digital inefficiency per company per year. If one workflow requires users to switch systems, pause for clarification, or restart after an error, you can estimate lost time per attempt, multiply by task frequency, and then multiply again by the number of affected users.<\/p>\n\n\n\n

    Next, add support-related cost. Poor adoption drives repeated \u201chow do I do this?\u201d demand even when the software is technically working. WalkMe found 29% of workers stop mid-task due to lack of guidance<\/strong>, and 38%<\/strong> say they feel well-trained on software and AI. That gap matters. When users are not confident in the flow of work, support volume rises and the same avoidable questions keep returning.<\/p>\n\n\n\n

    Then account for training inefficiency. Traditional training decays quickly because it is detached from the moment of execution. WalkMe states that workers need in-flow guidance<\/strong> because traditional training cannot keep up, and workers with in-flow support are 3.7x more confident<\/strong> in training relevance. In the report\u2019s confidence comparison, only 7%<\/strong> of workers without in-flow support said training felt relevant versus 28%<\/strong> with support. If you invested heavily in launch training but users still stall during live workflows, that training cost is not delivering full value.<\/p>\n\n\n\n

    Finally, measure license waste. WalkMe\u2019s research found organizations realize only 52% of broader enterprise software value<\/strong>. That does not mean every unused feature is wasted spend, but it does mean your original business case is probably overstated if feature depth, process completion, or role-based usage remain low. At a macro level, WalkMe reports 40% of spend underperforms due to adoption challenges<\/strong> and $20 million<\/strong> in annual cost from projects that failed to deliver ROI due to low adoption.<\/p>\n\n\n\n

    Keep your model conservative. Leadership will trust a defensible estimate more than an aggressive projection. Build the calculation per workflow, per user group, and then across the full deployment. If your numbers align with observed friction, real usage depth, and business outcomes, your software adoption ROI story will stand up to scrutiny.<\/p>\n\n\n\n

    Step 3: Find the root causes behind low adoption<\/strong><\/h2>\n\n\n\n

    Once you quantify the loss, the next step is to explain why it is happening. That matters because not every performance issue is an adoption issue. Sometimes the workflow is poorly designed. Sometimes role expectations are unclear. Sometimes training happened too early. And sometimes users hit in-the-moment confusion that no static documentation can solve.<\/p>\n\n\n\n

    WalkMe\u2019s research shows that work breaks when context disappears. In the report, only 9% of workers trust AI for high-impact work<\/strong>, while 55%<\/strong> trust it only for simple tasks. At the same time, 61% of executives<\/strong> say they trust AI for complex work. That gap suggests the issue is not only resistance. It is a mismatch between what leaders think users can do and what users can actually execute in live workflows.<\/p>\n\n\n\n

    A useful way to diagnose the root cause is to separate awareness, ability, reinforcement, and workflow complexity. WalkMe found only 21% of workers<\/strong> believe their tools are adequate compared with 88% of executives<\/strong>, and only 29% of workers<\/strong> say they receive sufficient training compared with 91% of executives<\/strong>. Those gaps point to execution gaps in rollout and support, not simply a workforce unwilling to adapt.<\/p>\n\n\n\n

    Step 4: Fix the workflows that drive the most ROI<\/strong><\/h2>\n\n\n\n

    With root causes identified, you can focus on the workflows most likely to improve software adoption ROI. Do not try to solve every friction point at once. The better approach is to choose a small number of high-impact workflows and improve them in the order that will return measurable value fastest.<\/p>\n\n\n\n

    Start with workflows that combine high user volume, high business impact, and visible friction. WalkMe\u2019s data gives you a useful clue about where to begin: 47% of lost time comes from missing guidance<\/strong>, 30%<\/strong> from cross-application fragmentation, and 23%<\/strong> from tools operating without context. That means your first interventions should usually target guidance and continuity inside the flow of work.<\/p>\n\n\n\n

    Then match the intervention to the problem. If users are unsure what to do next, use in-app guidance or contextual help. If the process spans several systems, reduce friction with cross-application unification. If repetitive steps slow down completion, use workflow execution to help users move through the task accurately. WalkMe\u2019s report argues that winning organizations are improving outcomes by making existing tools work for people in real workflows, not by adding more complexity. It also found that 59% of workers<\/strong> say integration between tools is essential and that 38% of executives<\/strong> now rank live contextual training<\/strong> as a top three-year priority.<\/p>\n\n\n\n

    Step 5: Track software adoption ROI over time<\/strong><\/h2>\n\n\n\n

    Improving software adoption ROI is not a one-time audit. After you fix the first set of workflows, you need an ongoing review cycle to confirm that performance is improving and to catch new friction as processes change. Without that discipline, the same gap can reopen after updates, reorganizations, or new feature releases.<\/p>\n\n\n\n

    Track adoption and ROI with a regular cadence. Review completion rates, usage depth, support trends, workflow speed, and business outcomes at the workflow level. WalkMe\u2019s research shows leaders often overestimate software readiness and visibility, with an 80% to 21% gap<\/strong> on visibility into tools and an 82% to 37% gap<\/strong> on workflow continuity. Ongoing measurement helps you replace assumptions with evidence.<\/p>\n\n\n\n

    Use analytics to validate whether your interventions are changing behavior or simply adding content. This distinction matters. WalkMe found that workers with in-flow support report stronger confidence across multiple dimensions, including 30% versus 15%<\/strong> on productivity impact and 20% versus 8%<\/strong> on preventing mistakes. If guidance is not improving those kinds of outcomes, you need to refine the intervention rather than publish more help content.<\/p>\n\n\n\n

    Tips for improving software adoption ROI faster<\/strong><\/h2>\n\n\n\n

    If you want faster gains, treat software adoption ROI as a business performance issue rather than a training project. WalkMe\u2019s research shows the biggest loss driver is not broken software but missing guidance, which accounts for 47%<\/strong> of time lost to friction. That should change how you prioritize improvement work.<\/p>\n\n\n\n

    A few practices help you move faster:<\/p>\n\n\n\n

      \n
    • build measurement into the rollout plan before launch so expected value and actual value can be compared<\/li>\n\n\n\n
    • focus first on workflows with the highest user volume and the clearest impact on productivity or compliance<\/li>\n\n\n\n
    • use contextual support in the flow of work, since workers with in-flow support are 3.7x<\/strong> more confident in training relevance<\/li>\n\n\n\n
    • keep the model conservative, because 77% of executives<\/strong> cite adoption as the primary issue and need evidence they can defend<\/li>\n<\/ul>\n\n\n\n

      You should also remember that workers are asking for practical improvements, not more tools. In WalkMe\u2019s research, 37%<\/strong> said reliability would make technology work better, 36%<\/strong> said ease of use, and 30%<\/strong> said guidance built into applications.<\/p>\n\n\n\n

      How WalkMe helps improve software adoption ROI<\/strong><\/h2>\n\n\n\n

      If your organization needs to reduce friction in complex workflows and prove value from major software investments, WalkMe is a strong fit to evaluate. WalkMe is the platform for digital adoption, and the report positions it as the layer that provides real-time context, cross-application reach, and workflow execution across enterprise applications.<\/p>\n\n\n\n

      In practice, that means WalkMe helps you address software adoption ROI at the point where value is won or lost: inside the workflow. WalkMe supports in-app guidance, behavioral analytics, workflow execution, and cross-application unification so users can complete tasks with less friction and more consistency. That matters in environments where workers switch tools constantly, where 53%<\/strong> move between two to three apps per task and where fragmentation drives abandonment.<\/p>\n\n\n\n

      WalkMe is especially relevant when you need measurable improvements across large user groups. According to IDC data cited by WalkMe, organizations using WalkMe saw 60% faster internal user adoption<\/strong> and 45% faster application migration<\/strong>. WalkMe\u2019s broader 2026 research also shows that 84% of executives<\/strong> plan to invest in in-flow coaching and DAPs, while organizations using best practices report a 91% mean ROI<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"Software adoption ROI breaks down when the platform goes live but employees still struggle to complete work in it. 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