Improving Autoleap's DVI Experience

Role

Product Designer

Timeline

Jan 2024

Link
Autoleap.com
Company
Autoleap
Deliverables

UI Designs

User Flows

Prototype

Design Doc.

Description

AutoLeap is a cloud-based auto repair shop management software that aims to revolutionize the industry by providing a platform that fuels growth, enhances user-friendliness, and builds customer trust. The software is designed to make shop management more efficient and profitable.The purpose of this case study is to showcase the efforts of improving the user experience of digital vehicle inspection for shop owner by adding photos to the feature.

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Overview

This case study showcases the workflow enhancement for the Digital Vehicle Inspections (DVI) feature within AutoLeap. The project aimed to address the cumbersome process of adding and annotating images to DVI. Through this effort our team achieved a more efficient and user-friendly experience for shop owners and technicians. This overhaul not only improved operational efficiency but also played a pivotal role in fostering trust between shops and their customers through clearer and more detailed visual inspections.

Technical Problem

The existing process for adding and annotating images to an inspection item was cumbersome, involving eight steps for a single image without annotations. This inefficiency was compounded when adding multiple images, with an additional seven steps per image.

Office User Problem

Enhancing the quality and clarity of uploaded images to ensure they are clear enough to read codes or examine small vehicle components, which is vital for establishing trust between the shop and the customer.

Scope of Feature

Easy paisa's customer service team conducted a thorough market research on the problem and provided me with the following pain points

Touch points:

[Tech App] DVI Item:

Capturing, editing, and saving image(s)/video(s) to DVI item in fewer steps

Front-end

Back-end

Touch points:

[Office / Tech App] DVI item

Choosing image(s)/video(s) from gallery, editing, and adding to DVI items in fewer steps

Front-end

Back-end

Touch points:

[Office / Tech App] DVI item images

Reduce image upload time & retain original image quality upon upload

Front-end

Back-end

Product Requirement Document

Closely following with the product requirement documentation was key to the success of this feature. The highlights of the PRD were:

  • Users can select from the set of shapes (square, circle, arrow) to be added to the image for annotation.
  • Upon Selecting a shape, shape will be displayed on the image.
  • Each selected shape will have resizing handles (small draggler points) placed at the corners or edges.
  • Users will have the ability to save the annotated image by overwriting the original or saving as new.
Example user flows

Current Flow

The overall Digital Vehicle Inspection (DVI) process requires 18 steps for users to upload photos to inspected items.

Screenshot of the current flow

Proposed Flow

Closely following with the product requirement documentation was key to the success of this feature. The highlights of the PRD were:

  • Users can select from the set of shapes (square, circle, arrow) to be added to the image for annotation.
  • Upon Selecting a shape, shape will be displayed on the image.
  • Each selected shape will have resizing handles (small draggler points) placed at the corners or edges.
  • Users will have the ability to save the annotated image by overwriting the original or saving as new.
Screenshot of the proposed flow

Design Ideation

The design process went through multiple iterations and feedback cycles. The key areas of focus during the design process were:

Clear Hierarchy:

Establish a clear hierarchy in the user interface.

Effortless Navigation:

Fine-tuning options to ensure technicians can navigate effortlessly.

Inspection Status Marking:

Marking inspection statuses within the DVI workflow.

Enhanced Media Attachment:

Improving the process of attaching images and other media files.

Screenshot of the designs on Figma

Final Designs & Results

After a detailed beta testing, the final designs reported a successful impact on retaining and delighting serveral shop owners, particularly the mid-market SBMs. Here are the success metrics gathered over a period of 6 months after the feature implementation:

  • 30% increase in the avg. number of DVI reports completed per technician.
  • 15% increase in upsell opportunities identified through clearer DVI images.
  • 3% growth in revenue attributed to the upsells due to enhanced DVI features.
  • 10% improvement in customer retention.