Role: UX Professional
Time: 10 months
Company: Codesplice
Type: SaaS Product
My part:
-
Implemented ISO-compliant verification processes for CRM contacts, improving
data accuracy by 28%.
- Integrated AI-driven risk analysis to identify and mitigate potential
risks and KPIs proactively, significantly reducing manual risk assessments.
- Developed audit and management module enhancing risk-based internal audit
processes, track company objectives, contexts, SWOT analysis, Organogram and record
review minutes.
- Crafted customizable dashboards and heatmaps to provide real-time insights
and effective system monitoring.
- Demonstrated Figma prototypes and UI, eliciting constructive feedback to
refine designs.
TraxQM is a risk-based Quality
Management System (QMS) designed to drive operational excellence for
businesses. TraxQMcomprehensive solution enhances critical quality processes,
covering CAPA, Complaint, Deviation, Change Control, and Risk Management.
TraxQM
includes subscriptions for TalentLMS and DocuSign with 21 CFR Part 11
compliance, providing an all-encompassing solution for streamlined quality
management. Our integrated document management uses SharePoint Online with full
offline sync support.
What sets TraxQM apart is its user-friendly interface,
Kanban-based task management, and risk-based methodologies with support for
internal audits & management reviews.
A risk-based audit system which let users to record processes, take necessary actions and generate audit report based on compliance and non-compliance results.
Integrated AI to assess risks and KPIs to track the effectiveness of processes and controls to prevent risks.
A setup designed to record the Management Review meeting minutes and monitor the actions in the organisation.
Records the data of Assets and Contacts of the Organisation and provides a way to verify the data based on external database.
User research, Competitive analysis and Insights
Conducted
in-depth interviews with pharmaceutical auditors, compliance officers, and
quality assurance professionals to understand their audit processes, pain
points, and requirements.
Explored
topics such as audit preparation, execution, follow-up, regulatory
compliance, and integration with other quality management processes.
This involved interviews, surveys, and
observational studies to understand their pain points, workflows, and goals
related to quality management.
Conducted
a comprehensive analysis of regulatory requirements governing audit
management in the pharmaceutical industry, including FDA regulations, EMA
guidelines, and international standards (e.g., ISO 19011).
Identified key compliance requirements and best
practices to ensure the product aligns with industry standards.
Evaluated
existing audit, risk and management solutions in the market, focusing on features,
user experience, compliance capabilities, and integration with QMS
platforms.
Identified
strengths, weaknesses, and opportunities for differentiation to inform the
design of TraxQM.
Users spend significant time manually analyzing data to identify risks and recommend mitigation measures.
Users struggle to prioritize risks effectively, leading to delays in implementing mitigation measures.
Users find it challenging to access and analyze historical data to identify trends and patterns.
Define goals and brainstorm ideas
Based on our research insights, we defined clear user personas, each representing a distinct user archetype with unique needs and requirements. These personas helped us empathize with our users' perspectives and prioritize features and functionalities accordingly.
In the ideation phase, we facilitated collaborative workshops and brainstorming sessions with cross-functional teams to generate creative solutions to address the identified user needs and pain points. We encouraged an open exchange of ideas and explored diverse design possibilities.
AI Assistant should analyze data, providing insights based on previous outcomes. This enables users
to make data-driven decisions.
AI Assitant should prioritize risks based on their severity, likelihood, and potential
impact to address the most critical risks first,
optimizing resource allocation.
CRM should integrate database and provides verification of the customers and suppliers in the organisation.
Different stages of audit like Identification, Evaluation, Action plan, Implementation and Review should be recorded. Auto generated report should be presented in audit and management review.
Integrate data from different modules of QMS and record in review minutes for an effective tracking of actions and processes.
Real-time data of QMS should be presented like risks, KPIs, events, controls, audits to get a clear picture of the organisational activities.
Low fidelity and High fidelity prototypes
Using the insights gathered
during the ideation phase, I developed interactive prototypes. I also added annotations to explain the functionality of each element and how users will interact with the audit module and AI assistant.
Finally I reviewed the wireframes with stakeholders again, gathered additional feedback, and made necessary iterations to finalize the lo-fi prototypes.
Incorporated branding elements, colors, typography, and imagery to create a visually appealing and responsive design. I implemented functional elements such as navigation menus, data input forms, search functionalities, and task flows to simulate real-world interactions.
Provides powerful data visualisation tools that offer a comprehensive overview of your organisation's quality health. Empower your management team with actionable insights and real-time data to drive informed decision-making and maintain regulatory compliance.
Empowers your organisation with a robust, risk-based approach to managing internal and external audits. It enhances your audit processes with comprehensive features designed to ensure thorough compliance and continuous improvement.
Offers a robust set of tools to help organisations manage their structures, assets, and strategic plans effectively. Tailored to meet real-world scenarios, our module ensures compliance and enhances operational efficiency.
Testing, Iteration and Launch
I conducted comprehensive testing of the SaaS product's responsiveness using BrowserStack, a cloud-based testing platform that allows for testing across a wide range of browsers and devices. By accessing real devices and browsers on BrowserStack, I was able to verify the responsiveness of my designs and identify any layout or functionality issues across different platforms.
I conducted usability testing sessions with representative users to gather feedback on the prototypes and validate design decisions. These sessions helped identify usability issues, uncover user preferences, and refine the user interface based on real-world usage scenarios.
Based on the feedback received from usability testing and stakeholder reviews, I iteratively refined and improved the design. This iterative approach allowed me to address user concerns, incorporate new insights, and continually enhance the user experience.
Team Codesplice
London, United Kingdom
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