Transforming Customer Self-Onboarding Experience Through Comprehensive UX Research
A deep-dive research initiative to simplify network provisioning, reduce team dependency, and empower customers with seamless self-service capabilities.
Aryaka's MyAryaka Config Portal enables customers to manage site setups and network services. However, the current system suffers from a poorly structured design that complicates onboarding tasks, forcing the provisioning team to handle setup and configuration for customers rather than enabling self-service.
The MyAryaka Config Portal was designed to enable customers to independently manage their network configurations. However, the current implementation has created significant friction in the onboarding process, resulting in heavy reliance on the provisioning team and extended setup times.
Expert review of the current portal against established usability principles
In-depth conversations with customers and internal team members
Task-based testing to identify friction points in real workflows
Through our research, we identified three primary personas representing different stakeholders in the onboarding process.
Sales Solutions Engineer
Technical sales professional who attends discovery meetings, analyzes customer needs, and coordinates with provisioning teams for POC setups.
Provisioning Engineer
Technical expert responsible for configuring network services, managing POC setups, and ensuring smooth customer onboarding.
Customer - Network Manager
IT professional managing enterprise network infrastructure, responsible for deploying and maintaining Aryaka services across multiple locations.
We mapped the complete customer journey across 5 phases, identifying touchpoints, pain points, and opportunities for improvement.


Through our research, we identified critical pain points across all 5 phases of the customer journey.
Based on our findings, we developed comprehensive recommendations organized by implementation priority and expected impact.
Create streamlined packages with fixed pricing and speed/decision-making. Highlight key differentiators clearly.
Introduce templated packages with fixed pricing to speed up decision-making and reduce manual errors.
Improve self-service configuration with better guidance, validation, and real-time feedback.
Reduce manual handoffs between teams with automated ticket creation and status updates.
Implementation of these recommendations is projected to deliver significant improvements across key metrics.