UK Private Company Insights | Dashboard for Market Intelligence

Context & Challenge

This project is part of a larger Directory platform designed to give a deeper overview of the UK private equity market. The goal was to surface key insights across fundraisers, investors, market capitalisation, and company ROI in one place. The data was extracted using advanced machine learning algorithms capable of processing unstructured sources into actionable intelligence.

The UK Private Company Insights Dashboard provides a clear, interactive view of the UK private equity market. It consolidates multiple datasets—status changes, market cap, fundraising trends—into a single, intuitive interface.

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My Role

• Dashboard UI/UX design (charts, table, filters, responsive layouts)
• Resolved design challenges around tiny data proportions vs. dominant values (e.g. 0.04% vs. 97%)
• Ensured chart readability (e.g. pie radius and bar scaling)
• Collaborated with developers to implement chart libraries (plotly.js)

Design Approach

• Applied data-to-insight transformation principles to move from raw numbers to visually digestible formats.
• Created a responsive table UX with clear status categorisation, change indicators, and drill-down interactions.
• Optimised chart readability by balancing proportion, colour, and data grouping.
• Added interaction hints, such as the ability to click a month in the table to update the pie chart dynamically.

Key Features

Interactive pie chart showing real-time company status breakdown

Stacked bar chart for monthly change trends (positive & negative)

Table-driven interactions – click a month to update chart views

Fully responsive UI that scales across mobile, tablet, and desktop

Scalable design system to support future growth of the insights platform

Data to Insight

Machine learning algorithms extract complex company data, transforming it into easily digestible visuals. This enables investors, analysts, and corporate strategists to quickly identify patterns and make data-driven decisions.

User Flow

From landing on the dashboard to exploring detailed status changes, every interaction was designed for efficiency. Clicking on table months dynamically updates the pie chart, maintaining a tight data-to-visual connection.

A user flow that shows how user (e.g., an investor or analyst) goes from: Opening the dashboard →Selecting a company status →Comparing monthly data →Drawing conclusions for action

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Table Design UX

Created with accessibility and clarity in mind, the table supports sorting, filtering, and quick status comparison. Integrated visual indicators enhance readability for month-over-month and year-over-year changes.

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Responsive Layout

Optimised for desktop and mobile, ensuring consistent functionality and visual clarity across screen sizes.

Key Visualisations

• Pie Chart: Company distribution by status.
• Stacked Bar Chart: Incremental changes, including negative values.
• Trend Charts: Fundraising and market capitalisation trends.

Outcome

A cohesive, scalable dashboard that connects multiple data streams into a single, user-friendly interface—enabling better, faster decision-making for market participants.

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💡 User Value

The dashboard helps users:

• Track market activity and company health at a glance
• Filter signals from noise using clean visual insights
• Make faster investment, research, or policy decisions
• Understand UK private sector trends without deep technical skills

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Tools

Research: Chat GPT, Claude

Design: Figma