Engagement Data Outputs

Renewable energy projects don't arrive in isolation. In most programmes, the same landowner is affected by two schemes, the same community group is watching three, and the same county councillor sits on a planning committee for all of them. 

Nobody is currently seeing that person whole.

This dashboard illustrates what structured engagement intelligence looks like across a multi-project renewables programme, with land parcels, groups, and individuals tracked as distinct entity types, each with their own engagement history, interests, and attributes. It shows who has been reached, who hasn't, where the same stakeholder is carrying multiple roles across different projects, and how sentiment is shifting across the programme over time.

All data is fictional and built for illustrative purposes. The scenario is loosely set in the west of Ireland.

Public consultation generates large volumes of data, yet much of it remains underused.

This dashboard analyses 165 submissions to the Irish Government’s Accelerating Infrastructure consultation, demonstrating how unstructured consultation responses can be transformed into usable insight through structured analysis and AI-assisted classification.

Users can filter the data by respondent type, sector, and geographic scope to explore patterns and themes across submissions.

Methodology

Submissions were classified using AI-assisted analysis. Respondent type, sector, and geographic scope were derived from submission data and publicly available information.

This is an independent analysis by Easca Consulting and is not affiliated with or endorsed by any government body.

Most engagement programmes generate more data than they can effectively use, including submissions, meeting records, interviews, and sentiment trends.

This community engagement dashboard is built around a fictional road bypass scheme using realistic sample data to demonstrate what structured engagement insight can look like in practice.

It tracks submission volume, sentiment trends, stakeholder participation, and engagement gaps across the consultation process.

Users can filter the data by stakeholder type and sentiment to explore patterns across the engagement process.

When managing multiple projects, risk often builds gradually through unresolved issues, overdue commitments, and inconsistent follow-up across the portfolio.

This dashboard demonstrates what portfolio-level engagement insight can look like when stakeholder records, commitments, and interaction data are consistently structured across projects.

The example includes four fictional infrastructure projects across Ireland and the UK and provides a consolidated view of engagement activity, project status, and outstanding actions.

Users can filter the data by region, reporting period, and project status, with the ability to drill into individual projects for more detailed analysis.