Billions are being invested in modernising workplace systems, accelerating the pace of digital transformation. However, a significant disconnect persists. Yet there’s a hidden tax quietly eroding these gains: digital friction.
These are the micro-stalls, misclicks, rework, and context switches that add up to hours lost across the enterprise. The Ivanti 2025 Technology at Work Report found that 38% of IT professionals consider tech complexity a barrier, and 63% of them say new workplace tech sometimes creates more work than it saves.
The very systems purchased to boost productivity and engagement are doing the opposite, costing billions each year in wasted effort. Addressing this hidden friction is now critical to realizing the true potential of digital transformation.
Executive leaders like CIOs are facing a critical question: Why, despite substantial investments in premium software solutions, are expected outcomes not materialising?
This disconnect is increasingly evident as organisations struggle to align technology spend with measurable returns. Employee digital friction is the answer.
Digital friction can be thought of as the micro-stalls, misclicks, and rework that quietly accumulate into lost productivity. As organisations expand their technology ecosystems, employees navigate a fragmented digital landscape.
A recent Deloitte study highlights that organisations with engaging and supportive workforce experiences see 22% higher employee engagement. Employees in these environments are also four times more likely to remain in their jobs and are more productive, which directly boosts the ROI of technology investments.
Yet, if digital friction persists, organisations will struggle to unlock the full value of their technology investments and user satisfaction.
As enterprises expand their tech ecosystems, friction shows up in familiar ways: Individually, these issues may seem minor, but at scale, they become a massive drag on productivity and adoption. This is why enterprises often find that feature rollouts stall instead of accelerating, even after significant investment.
The problem is deceptively simple: employees disengage, errors rise, and adoption plateaus. In the past, diagnosing friction meant weeks of engineering requests and fragmented analysis before root causes surfaced.
Today, modern no-code product analytics changes that. Every user interaction is auto-captured from day one, giving leaders instant visibility into where users struggle. GenAI enhances this further by automating pattern detection, surfacing friction points, and generating UX recommendations that once took days of manual effort.
With session replays showing the “why,” teams can resolve issues within minutes, turning stalled adoption into measurable gains the very same day.
These seemingly small points of friction, multiplied across workflows, generate hidden inefficiencies that quietly drain productivity and technology ROI. In fact, Forrester’s insights show that digital friction in the workplace leads to higher service costs, hinders innovation, and stifles growth.
As workarounds, context switching, and troubleshooting become more common, these costs grow exponentially. While such hidden expenses rarely appear in traditional financial statements, their impact on employee productivity, user experience, and technology adoption is both profound and far-reaching.
The disconnect between technology investment and adoption often stems from an inability to measure and optimise digital experiences.
Product analytics helps organisations address employee digital friction by providing real-time insights into how employees interact with tools.By tracking user behavior such as interaction flows, error occurrences, and support requests, organisations can identify inefficiencies, optimise technology for better outcomes, and ultimately enhance employee productivity and satisfaction.
Forward thinking organisations are now using features that auto-capture every user interaction, such as clicks, scrolls, and page views, from the moment a system is integrated. This eliminates the need for manual tagging, tracking spreadsheets, or engineering sprints.
Always-on behavioral data flows directly into AI-powered analysis, enabling teams to ask simple questions and instantly receive actionable insights, summaries, and session replays that reveal the “why” behind the numbers.
Real-time cohorts then form automatically, updating as behavior changes, so insights move seamlessly into targeted actions without delays between discovery and resolution.
Consider the case of a major beverage manufacturer that relied on Microsoft Dynamics to manage its raw material procurement. The process was plagued by inaccuracies in requisition entries, leading to frequent rework and delays.
Using Whatfix’s User Actions feature, the company tracked critical fields within the procurement workflow. The analytics, powered by GenAI, surfaced granular insights, revealing which fields had the highest error rates and identifying at-risk user segments.
Armed with this information, the company deployed GenAI-powered, Whatfix’s Digital Adoption Platform to proactively reduce friction, masking invalid options, streamlining workflows, and delivering in-app guidance.
The impact was transformative: support tickets dropped by 75%, over 850 erroneous requisitions were intercepted before submission, and processing time per requisition was reduced by 25–30 minutes, saving over 425 person-hours.
Most importantly, the company addressed the root causes of inefficiency by directing users to remedial training, reducing recurring errors. To address digital friction effectively, organisations must track the right signals.
Key metrics include task success rate, time-to-complete, step-level error and abandon rates, tickets per 100 users, and guidance adoption uplift. These measures not only highlight where friction exists but also demonstrate the business value of resolving it.
The true value of digital transformation lies not just in technology adoption, but in the quality of the user experience it enables. Product analytics bridges the gap between technology investment and human outcomes, providing organisations with granular insights into employee engagement with digital tools.
By harnessing behavioral data, organisations can pinpoint friction points that lead to task abandonment, frequent errors, or over-reliance on support. These insights enable companies to deploy targeted interventions, such as in-the-flow guidance, and to continuously iterate on digital processes based on real user data.
This approach not only drives better outcomes but also delivers objective measures of the effectiveness of digital initiatives.
As the digital workplace evolves, product analytics has become more than a tool—it is a strategic asset shaping the future of work.
Nearly 70% of employees say they are ready to adapt their roles and skills to support digital initiatives, creating a rare opportunity to reimagine work with human experience at the center of transformation.
Organisations that empower employees with real-time, data-driven insights and seamless digital experiences unlock growth and long-term competitive advantage. Product analytics makes this possible, turning raw interactions into immediate, targeted actions—like the global beverage company that used analytics to uncover workflow bottlenecks, act on them in real time, and boost frontline productivity.
By anticipating employee needs, fostering organisational agility, and embedding a culture of continuous innovation, companies can dismantle traditional barriers and create intelligent, resilient workplaces. This is the blueprint for modern enterprises, turning every insight into decisive action, every action into measurable results, and every investment into the maximum possible return on technology.
Digital transformation isn’t won by shipping more features; it’s won by removing the seconds that steal hours.
