Answers that stick with you.

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

At the core of a good dashboard lies a solid structure. As a research consultancy, we excel in designing dashboards based on research questions and policy theories. Furthermore, we conduct user research to determine the insights that dashboard users need. Not every user need can be predefined - and often insights lead to new questions. Our solution for this is the Insight Builder.

Insight Builder

Through the Insight Builder, we provide a way to unlock a wealth of information and knowledge on a dashboard. Users are empowered to ask new questions based on the data, enabling them to conduct their own analyses. This allows a user to specify an analysis to a specific segment of a dataset. They can also customise the display (such as a bar chart instead of a line chart, a different time period, etc.). A challenge is to prevent new analyses from resulting in incorrect or incomplete outcomes. Additionally, the aim is not to overwhelm the user with choices and information.

We offer two variants of the Insight Builder. In the first variant, our researchers prepare a large number of analyses in a 'catalogue'. Users can easily search this catalogue and apply filters to the analyses. The search is based on natural language and a touch of AI. If a user searches for a term that does not exactly match a term on the dashboard, the system can still show the correct content through clever matching. An example of a catalogue-based Insight Builder can be found at pr-edict.nl. Here, users can explore a wide range of analyses in the field of ICT and the labour market, with easy filtering options.

A more modern variant is the AI Insight Builder. A user can pose a free-form analysis question in plain language. The dashboard then generates an analysis (chart) that answers the question if possible. To achieve this, we feed an AI with detailed information about the dataset, underlying methods, and assumptions. The AI translates the question into a query (database query), a proposed visualization format, and an explanation. With the AI, we can also check constraints and indicate limitations of the analysis. Hard constraints, such as minimum cell fill, can also be incorporated.

Bespoke Solutions

Dialogic provides custom applications for visualisation, data collection, and analysis. Here, you can find an example of a custom visualisation. Each circle represents a festival, while the colour indicates the genre. Festivals that feature the same artists are closer together, allowing users to interactively discover interesting festivals.