Eniola Ogunsola

Designing an AI-native data decision-support platform for food security in the public sector

• Led end-to-end design of AI-driven decision tools used by governments, shipping across multiple countries to stakeholders driving policy decisions
• Defined the interaction patterns and mental models for AI in high-stakes environments — predictive insights, multi-step reasoning, and auditable layers users can interrogate before acting
• Led foundational research with policy stakeholders across country partners, translating in-person fieldwork into product direction and shaping how data signals reach decision-makers
• Reduced government partner onboarding from a 3–5 month manual handoff to weeks by designing a self-service data pipeline that eliminated manual middleware between agencies and the platform
• Reduced engineering build time across the product suite by designing scalable interaction systems and shared patterns new features could plug into without redefining the vocabulary
• Collaborated cross-functionally with product, engineering, and data to translate complex requirements into shipped product; shaped direction through early-stage discovery grounded in in-person research across countries
• Extended the design role into front-end implementation through an AI-assisted workflow, shipping reviewable components alongside design

Designing a collaborative productivity platform for task management, documents, and team workflows across web and mobile

• Early designer on the team, contributing across core areas including tasks, documents, collaboration, onboarding, and monetisation
• Helped shape product direction alongside founders and product leadership
• Led design of onboarding experience, significantly improving early user retention
• Designed and shipped integrations, supporting growth in user engagement and overall product adoption
• Contributed to establishing and scaling the design system, improving consistency and long-term maintainability
• Facilitated workshops and alignment sessions to support product clarity and cross-team decision-making
• Used experimentation, A/B testing, and user feedback to guide iteration and improve product performance

An AI-native procurement product bringing intelligence into a complex enterprise workflow long dominated by legacy systems

• Co-founded an AI-native procurement product, embedding AI into a complex enterprise workflow to compete with legacy sourcing and vendor-management systems
• Led design from 0 → MVP in 3 weeks, defining core workflows, product structure, and interaction model from scratch
• Translated early-stage ideas into a functional product for rapid validation
• Contributed to securing initial funding following MVP delivery

Designing geospatial and environmental data products for complex analytical use cases

• First designer on the product, establishing design and research foundations
• Defined how complex environmental and geospatial data is translated into usable product experiences
• Led research and experimentation to improve user satisfaction and conversion
• Conducted interviews with 60+ domain experts to inform product direction

Designing products across web3, AI, and fintech domains for early-stage and experimental use cases

• Designed user experiences across multiple product types and industries
• Contributed to product direction through research and iterative design