Scenic Mind · Product, AI, experience, delivery
Intelligence Hub. Automated competitive insight as a product capability.
This initiative focused on creating a fully automated and structured way to track competitors, analyse positioning, and generate usable outputs such as battle cards and market insights. It reflects how I combine product thinking, delivery structure, and AI to turn fragmented processes into scalable systems.
CASE STUDY
From manual research to continuous intelligence.
CONTEXT
A fragmented approach to competitive intelligence
Competitive insight across the business was inconsistent, manual, and often outdated. Teams relied on scattered sources, ad hoc research, and individual knowledge rather than a structured, repeatable system. There was no single place to track competitors, understand positioning, or turn insight into action.
CHALLENGE
Move from reactive research to continuous intelligence
The challenge was to design a system that could continuously track competitors, surface meaningful changes, and translate information into usable outputs. This required combining data collection, AI processing, and structured product thinking into something practical, not theoretical.
APPROACH
Designing the Intelligence Hub as a product system
I designed the Intelligence Hub as a structured system rather than a tool. It combines automated data gathering, AI driven analysis, and clear output formats. The focus was on making intelligence usable through consistent artefacts such as battle cards, company profiles, and daily briefings, all stored and organised in a central knowledge base.
OUTCOME
A scalable and repeatable intelligence capability
The result is a repeatable system that continuously tracks competitors, generates insights, and produces structured outputs. Teams can now access up to date intelligence, understand competitive positioning more clearly, and use consistent artefacts to support product, marketing, and commercial decisions.
DELIVERABLES
What was created.
Intelligence Hub design
Defined the structure of a centralised system to store, organise, and retrieve competitive intelligence.
Battle cards
Created a consistent format for competitor comparison, strengths, weaknesses, and objection handling.
Automated tracking
Designed workflows to continuously monitor competitors, updates, and market changes without manual effort.
Daily and monthly insights
Established structured outputs such as daily briefings and market landscape reports.
CONTRIBUTION
Scenic Mind in practice.
Designing a system, not just a tool
Structuring knowledge for reuse and retrieval
Bridging product, marketing, and commercial needs
Connecting AI capability with practical outputs
Turning raw data into usable insight
Creating repeatable intelligence processes
PRINCIPLES
How it was approached.
Make intelligence usable
Insight has no value unless it can be understood and applied quickly by teams.
Automate the repeatable
Manual research does not scale. Automation should handle collection and synthesis where possible.
Structure drives clarity
Consistent formats such as battle cards and reports make insight easier to compare and act on.
AI supports, not replaces
AI is used to accelerate thinking and processing, while human judgement shapes meaning and decisions.