A document comparison tool for the Pharmaceutical Industry.

Tyler white

UX Researcher
Product Designer
Adobe After Effects
Figma
Verify is a SaaS platform from Globalvision. Specifically designed to automate the document quality control process in the strictly regulated environment of the pharmaceutical industry.

My Role

Founding Product Designer

Problem

During the document creation lifecycle, a document undergoes several iterations, receiving feedback from various departments such as Regulatory Affairs, FDA, Compliance, etc. Manual proofreading significantly impacts the time taken to produce the final version of a document for public release.

Impact

We managed to reduce the review process which could take hours or even days, to an average inspection time of 10 minutes.

Research and Discovery

Verify is the newest addition to GlobalVision’s suite of document quality control software. This application addresses a particular problem in the upstream space, which spans the creation of the initial Word document to the final, print-ready file.

Research Methods

We utilize various research methods to gain insights into a new problem space we call “upstream”—which spans the creation of the first Word document up to the final PDF before print.
These methods include:
User Interviews: We engage with our existing customers to understand their needs and experiences.
Usability tests: We conduct tests to assess the ease of use and functionality of our products.
Session recordings (via Hotjar): We analyze user interaction with our products to identify potential areas of improvement.
In-app surveys: We gather direct feedback from users while they are using our products.
We leveraged our current customer base to gain insights into the problems within the upstream space.

Design Process

We ensured substantial user involvement during the prototype phase to mitigate risks before pushing any code. This was achieved through:
Implementing the double diamond methodology to define user problems
Multiple iterations of wireframes
Creating Figma prototypes
Developing mini Proof of Concepts (POCs)
Validating every feature with our end users

Challenges

Manual Graphic Inspections

Inspecting graphic elements is a significant use case for our customers.
Documents up for review come in various shapes and sizes and are not always 1:1, presenting a challenge in facilitating the selection and matching process.
Our first iteration of the graphics feature fell short.
We provided a manual tool that, depending on the user’s computer literacy level, became a major source of frustration.

Automated Graphic Inspections

Given the substantial feedback we received suggesting “just make the software do it for me”, we realized we needed to pivot towards a solution that would automate the matching process and directly provide our users with the results.

The Solution

Our team has taken several steps to enhance the user experience and efficiency of our application:
The application was designed with a linear structure, guiding users through each inspection stage.
We initiated a Prep phase, asking users about their inspection priorities. This made results review easier, as we only highlighted relevant errors.
To streamline the review of results, we’ve implemented a tagging system for the identified errors. This system, referred to as “Difference Type”, provides additional context to help users expedite their review times.

Results

We managed to release a production version of the software within an 8-month period.
Reduced proofreading times to an average of 10minutes

Conclusion

In conclusion, the project was a success. The addition of Verify to the GlobalVision suite enhanced our product range by tackling upstream issues. Although initial challenges with manual graphic inspections were encountered, user feedback led to the creation of an automated solution. This greatly improved the user experience, reducing a process that once took days to just 10 minutes.Unfortunately, our first iteration of the graphics feature fell short. We provided a manual tool that, depending on the user’s computer literacy level, became a major source of frustration.
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