GeekyAnts found that real users behave differently than expected; simple onboarding, clear flows, and reliable performance drive engagement, trust, and long-term retention.
SAN FRANCISCO, Jan. 23, 2026 /PRNewswire-PRWeb/ -- GeekyAnts, a US-based IT consulting and development firm, has identified one consistent pattern while working on multiple projects and digital transformations: real users behave in ways that contradict product team predictions. very differently from how product teams predict. Across SaaS platforms, social apps, and enterprise tools, real usage data reshaped product roadmaps and contradicted initial assumptions, according to the company.
Assumptions fall flat when scale is concerned. In complex applications such as SaaS solutions and custom enterprise builds, features that teams expected to drive engagement received minimal use, while small improvements in workflow clarity and performance triggered an increase in user activity, the team reported. GeekyAnts learned early to rely on real usage data and frequent experiments to guide prioritization.
According to GeekyAnts, onboarding friction emerged as a key barrier to growth. Platforms, including the social matching platform NowMatch and community app Liviit, showed that users abandon journeys due to unclear initial flows rather than missing features. This finding made onboarding simplicity a priority for the development team.
GeekyAnts' product teams also observed that users focus on a handful of core actions, rather than exploring all available features. In wellness and routine-oriented tools, WaxBuddy, users engaged most with task scheduling and routine guidance rather than the exploratory features.
The company deems performance and reliability as critical, primary indicators of quality. Performance upgrades using modern frameworks like Next.js demonstrated that responsiveness and stability extend beyond technical attributes, according to the company. GeekyAnts found that these elements influence user retention and trust.
In large enterprise solutions — like the AI-Powered Translation System for global railway operations — the team found that consistency, predictability, and clarity in user flows serve as trust signals. The company observed that user confidence matters most in mission-critical scenarios.
GeekyAnts identified design consistency as a strategic factor. In projects including the furniture retailer Pepperfry's design system, the company achieved improvements in visual harmony and operational efficiency, proving that a shared UI language can accelerate development and improve user familiarity.
The GeekyAnts verdict is that realuser behavior demonstrates the importance of prioritizing clarity, reliability, and continuous learning over an extensive feature set and assumptions. For growth-stage companies pursuing consistent activation and retention, the lessons from GeekyAnts' case studies offer specific guidance: that teams should observe user actions, adapt based on data, and allow behaviour patterns to guide the product development journey.
Contact Information:
GeekyAnts Inc., 315 Montgomery Street, 9th & 10th Floors, San Francisco, CA 94104, USA
Phone: +1 845 534 6825 Email: [email protected]
Media Contact
Kumar Pratik, GeekyAnts, 1 8455346825, [email protected], http://www.geekyants.com/en-us?utm_source=prweb.com&utm_medium=referral
SOURCE GeekyAnts
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