A public transparency dashboard publishes a public body's operational data — complaint volumes and resolution times, project progress, expenditure, service performance — in a form citizens and journalists can read directly, rather than only through information requests.
Publishing changes the internal conversation
The strongest argument for transparency dashboards is not external. It is that publishing a number weekly changes how the organisation treats it. Resolution times that were reviewed quarterly get attention when they are visible, and the improvement usually starts before any citizen looks.
The risk is real too, and worth naming: published data will be used critically, sometimes without context. That is a reason to present figures carefully — with denominators, trends and explanation — not a reason to withhold them. Data obtained by RTI and published by someone else carries no context at all.
Process
How we deliver it
Process flow for Public dashboards & transparency
01
Choose the measures
What genuinely reflects performance, agreed internally first.
02
Establish definitions
One documented meaning per measure, published alongside.
03
Automate the feed
Direct from operational systems, no manual compilation.
04
Present with context
Denominators, trends and plain-language explanation.
05
Publish open data
Downloadable datasets alongside the visual dashboard.
Deliverables
What you receive
Public dashboard with automated data refresh
Documented metric definitions published alongside figures
Downloadable open datasets in machine-readable formats
Internal management view with greater detail
Accessibility conformance to GIGW 3.0 and WCAG 2.1 AA
Engagement shape
Twelve to twenty-four weeks, dependent on how ready the source systems are to supply data automatically.
Stack decisions follow the problem. This is where we usually start, not a fixed menu.
Frequently asked
Questions we get about this
What if the numbers look bad initially?
They often do, and publishing a poor baseline with a stated improvement plan is more credible than delaying until the figures flatter. Administrations that wait for good numbers before publishing usually never publish.
Should raw data be downloadable?
Yes, in machine-readable formats. Researchers and journalists will analyse it either way; providing it directly means they work from your complete dataset rather than a partial extract obtained elsewhere.
Talk it through before you commit
A discovery call is a working session on your constraint, not a sales pitch.
