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NEXTPOINT – IMPORT REDESIGN

Overview

Nextpoint is a cloud-based legal technology platform specializing in eDiscovery and litigation support. The import workflow is a critical component of the platform, enabling legal teams to upload and process large volumes of data efficiently.

As data scale and complexity increased, the existing import experience surfaced usability gaps and operational friction. This project focused on redesigning the import workflow to reduce cognitive load, streamline key actions, and better align the experience with real-world legal workflows and user expectations.

Hi-Fi Mockup of the Figma Prototype used for UserTesting

Project Goals

  • Simplify the import process to support users with varying levels of technical expertise.
  • Introduce a guided workflow to reduce errors and improve data mapping accuracy.
  • Enhance clarity and navigation across the import experience.
  • Implement intelligent defaults and recommendations based on data type.
  • Ensure scalability for future enhancements, including load file mapping and metadata overlays.

My Role

As the Senior UX Designer, I led the end-to-end design process for the import workflow redesign. I collaborated closely with product managers, engineers, and end users to ensure the solution addressed real-world legal workflows and technical constraints.

  • User Research & Analysis: Conducted interviews and usability testing to identify pain points in the existing import experience.
  • Workflow Design: Designed a step-by-step guided import flow with clear prompts and validation states.
  • Interface Design: Created wireframes and high-fidelity prototypes focused on clarity, confidence, and error prevention.
  • Iterative Testing: Ran multiple rounds of usability testing to refine interactions based on real-world usage.
  • Cross-functional Collaboration: Partnered with engineering and product teams to ensure smooth integration into the existing platform.

Key Features Introduced

  • Guided Import Workflow: A multi-step process that walks users through data selection, configuration, and confirmation, reducing errors.
  • Smart Defaults: Automatic recommendations for settings such as deduplication and DeNIST based on detected data types.
  • Load File Mapper: An intuitive interface for mapping DAT and CSV fields to platform schema, with real-time previews and validation.
  • Enhanced Error Handling: Clear, actionable validation messages that help users resolve issues quickly and confidently.

Tools

Design and Research:

Figma, Sketch, Zeplin, UserTesting.com, Mural

Communication:

Slack, Zoom, Jira, Confluence

Impact

The redesigned import workflow improved clarity, reduced user errors, and shortened completion times for data uploads. Users reported greater confidence during complex import tasks, particularly when working with load files and advanced configurations. The introduction of guided steps, smart defaults, and clearer validation made the platform more accessible to both technical and non-technical users, while establishing a scalable foundation for future import enhancements.