// Case-Study

About The Project

NextLens simplifies multi-app integrations and transforms scattered data into actionable insights tailored to non-technical users. By addressing challenges like data fragmentation and technical complexity, the platform empowers sales, marketing, and operational teams to monitor performance, analyze trends, and uncover opportunities effortlessly

The platform’s AI-driven recommendations, auto-mapped metrics, and customizable dashboards provide users with clear, actionable insights. Its intuitive workflow eliminates reliance on IT teams, enabling quick onboarding and seamless exploration of data. With Sightfull, businesses can focus on making smarter decisions faster, unlocking their full potential through streamlined analytics.

Problem Statement

Users face challenges turning fragmented data from multiple applications into meaningful insights. Technical barriers, unclear guidance, and overwhelming raw data leave them unsure about relevant metrics and unable to make impactful decisions efficiently. The lack of intuitive tools makes it difficult for non-technical users to connect apps and fully understand the value of aggregated data. Without actionable insights, users struggle to translate information into strategies that drive results.

Project Goals

Simplify app integrations to make the connection process intuitive and accessible for non-technical users while
Provide immediate value through AI-driven insights and guided onboarding.
Enable users to discover and customize metrics without relying on IT support or analysts.
Reduce cognitive overload by organizing data into clear, categorized metrics and visualizations.
Offer flexible dashboards with actionable insights to empower data-driven decision-making.
Enhance usability by supporting tailored filtering, dynamic chart options, and contextual data logs.

User Research

Identified non-technical users’ preference for simplicity and intuitive workflows over advanced features.
Discovered that users value actionable insights more than raw data, minimizing decision fatigue.
Recognized the common challenge of not knowing which applications to connect or what metrics they can generate.
Highlighted the importance of immediate value during onboarding to maintain engagement.
Prioritized self-service capabilities to reduce reliance on IT teams and empower users with autonomy.

UXUI Solution

Guided Onboarding: Designed a process with demo boards and predefined questions to reduce cognitive load and demonstrate value early in the user journey.
Centralized AI Input: Implemented natural language queries, allowing users to easily discover and add relevant metrics without technical expertise.
Categorized Metrics Section: Developed an organized section to group metrics into logical buckets, enabling streamlined exploration and quick selection of up to 10 metrics.
Dynamic Data Visualizations: Enabled users to switch between chart types in real-time, ensuring flexible and meaningful representation of data.
Custom Metrics and Tailored Filtering: Introduced a process for users to define custom metrics using rules, filters, and breakdown options. Enhanced data navigation with refined filtering options and detailed contextual logs, ensuring users stay focused within the platform.
Insightful Recommendations: Integrated AI-driven suggestions to provide actionable insights based on user metrics, enabling faster and more informed decision-making.