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 errors of manual risk assessments.
- Developed audit and management setup enhancing risk-based internal audit
processes, track company objectives and contexts
- Crafted customizable dashboards and heatmaps to provide real-time insights
and effective system monitoring.
- Demonstrated Figma prototypes, eliciting constructive feedback to
refine designs.
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
01
Conducted
in-depth interviews with pharmaceutical auditors, compliance officers, and
QA professionals to understand their audit processes, pain
points, and requirements.
02
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).
03
Evaluated
existing audit, risk and management solutions in the market, focusing on features,
user experience, compliance capabilities, and integration with QMS
platforms with SWOT.
Users spend significant time manually analyzing data to identify risks and recommend mitigation measures.
It is challenging for users to track KPIs based on different risks and intended results.
Users find it difficult to visualise and integrate necessary data in the management setup.
Define goals and brainstorm ideas
Based on our research
insights, I defined clear user personas, each representing a distinct user
archetype with unique needs and requirements.
Generate creative solutions to address the identified user needs and pain points.
What data AI should analyze in order to provide outcome?
What exactly the outcome should be?
CRM should integrate database and provides verification of the customers and suppliers in the organisation.
Auto generated report should be presented in audit and management review.
Example: Stages of audit like Identification, Evaluation, Action plan, Implementation and Review should be recorded.
Integrate data from different modules of QMS in management setup for an effective tracking of actions and processes.
Real-time data of QMS should be presented like risks, KPIs, events, controls, audits to visualise and track activites.
Low fidelity and High fidelity prototypes
Testing, Iteration and Launch