Scenic Mind · Product, AI, experience, delivery
Product thinking applied in practice
These case studies reflect how I bring together product leadership, business analysis, user experience, technical understanding and AI to turn complex challenges into clear outcomes.
Areas covered
AI product capability · UI adoption · Competitive intelligence · Natural language experience
Approach
Customer first and Commercial Product thinking.
Clarity over complexity.
Outcomes over outputs.
CASE STUDIES
Work that shows how thinking becomes delivery
AI PREDICTIONS
Led the technical creation and delivery of an AI powered predictions capability within Test Your Ad, turning a commercial need and UI designs into a scalable product.
Defined the training approach, worked with an offshore team to design and build, in an iterative way, a highly capable AI prediction engine, and supported go to market with the business.
NATURAL LANGUAGE SEARCH
Enabled users to find video adverts based on what actually happens within them using natural language. Worked across product, AI supplier, and delivery to refine understanding, relevance, and speed across a large dataset.
INTELLIGENCE HUB
Designed and built a structured system to continuously track competitors, generate insights, and produce usable outputs such as battle cards, daily briefings, and market landscape reports. AI-driven, repeatable, and scalable.
UI REDESIGN
Led the adoption strategy for a full UI redesign at Feefo using behavioural nudges and guided onboarding. Achieved around 30% opt-in early adoption through structured, user-led change management.
WHAT CONNECTS THIS WORK
A consistent way of thinking across every engagement.
Each of these pieces of work is different in context, but the approach is consistent. Understand the problem clearly, bring the right thinking to it, and shape delivery in a way that teams can actually execute.
Product clarity
Making complex capabilities understandable for teams, stakeholders, and customers.
Delivery readiness
Turning strategy and discovery into structured stories and backlog clarity.
Applied AI
Using AI as a practical capability rather than a concept or a shortcut.
Outcome focus
Measuring success by adoption, insight, and impact — not just release.
4 case studies
Across AI, UX, product delivery, and intelligence design
Real outcomes
Adoption rates, search capability, and scalable intelligence systems
One approach
Product thinking, delivery clarity, and AI working together
THE WORK IN DETAIL
Explore each case study.
LET'S CONNECT
Interested in working together?
Whether the challenge is product strategy, delivery clarity, AI adoption, or turning complex work into something teams can actually execute, get in touch.
Neil Terry
Senior Business Analyst · Product leader · AI and delivery thinker
https://www.linkedin.com/in/neiljterry/
Havant, Hampshire