Answers that stick with you.

With a dashboard, research results come to life as the answers can be continuously updated. In addition, dashboards are more accessible than research reports, and therefore often have a greater impact. Answers that stick, both literally and figuratively.

At the core of a good dashboard lies a sound structure. As a research agency, we excel in designing dashboards based on research questions and a policy theory. We also conduct user research to determine what insights dashboard users need. Not every user need can be determined in advance - and insights often raise new questions. Our solution for this is the Insight Builder.

Insight Builder

With the Insight Builder, we provide a way to unlock much more information and knowledge on a dashboard. Users are empowered to ask new questions based on the data, effectively enabling them to conduct their own analyses. This allows a user to specify an analysis to a specific segment of a dataset. Other features include adjusting the display (e.g. a bar instead of a line graph, a different time period, etc). The challenge is to prevent these new analyses from leading to incorrect or incomplete results. It is also important not to overwhelm the user with choices and information.

We offer two versions of the Insight Builder. In the first version, our researchers prepare a large number of analyses in a catalogue for users to explore and apply filters to. Searching is based on natural language and a touch of AI. If a user searches for a keyword that does not exactly match a search term on the dashboard, the system can still display the correct content through smart matching. An example of a catalog-based Insight Builder can be found at pr-edict.nl. Users can delve into a wide range of analyses on ICT and the labour market, with easy filtering options.

A more modern variant is the AI Insight Builder. A user can ask a free-form analysis question in normal language. The dashboard then generates an analysis (graph) that answers the question, if possible. To accomplish this, we feed an AI detailed information about the dataset, underlying methods, and assumptions. The AI translates the question into a query (database query), a proposal for a visualization format, and an explanation. The AI can also check prerequisites and indicate limitations of the analysis. Additionally, it can incorporate strict conditions such as minimum cell filling.

Bespoke Solutions

Dialogic provides custom applications for visualisation, data collection, and analysis. Below is an example of a custom visualisation. Each circle represents a festival, with the colour indicating the genre. Festivals hosting the same artists are closer together. This allows users to interactively discover interesting festivals.