Illustrative planning analysis: coloured three-dimensional bars over a tilted regional map, concentrated around denser urban areas

Introducing Refusal Atlas

Every refusal has a reason.
Find the pattern.

Planning refusal datasets reveal more when you can compare them. Explore local patterns by development type, investigate the reasons and follow the evidence behind the statistics.

Dataset-led intelligence · Local planning context

Refusal Atlas · Planning evidenceAI document analysisGeospatial intelligenceTraceable evidenceDataset-led analysis

One planning intelligence product

Investigate the pattern.
Inspect the evidence.

The foundation is the research collection. AI-extracted refusal reasons, development-specific categories and policy references connect detailed case investigation with wider statistical patterns.

01 /

Area intelligence

Explore the comparison design: select a development type and authority, then switch between counts and category shares.

Explore the comparison ↗
02 /

Refusal explorer

Investigate recorded refusals on a map, filter by reason and inspect individual cases. Location patterns provide a starting point for due diligence, with the underlying decisions close at hand.

Explore the location design ↗
03 /

Evidence workspace

Follow an identified concern back to the decision notice, application documents and cited policies. Traceability is central to the product: summaries should lead to evidence that users can check.

Follow the policy evidence ↗
04 /

A growing knowledge base

The coverage model brings geography and development scope together. Each new authority extends the evidence base; residential, commercial and industrial segments retain their own relevant classifications.

Explore coverage & scale ↗

From documents to comparisons

More than a collection.
A way to interrogate it.

01 / DATASET

Preserve the detail.

Retain refusal reasons, development types, policy references and source context. Detailed records give aggregated patterns their context.

02 / CRITERIA

Select the comparison.

Use development type, authority and reason categories to define the research question. Keep statistical bases visible when comparing differently sized datasets.

03 / EVIDENCE

Investigate the result.

Move from category-level patterns to the underlying reasoning and policy context. Refusal statistics guide investigation; they do not predict a future planning decision.

Explore the data architecture ↗
Interface workflow connecting dataset selection, category comparison and policy context

A closer look at the product

Choose the scope.
Explore the pattern.

The comparison workspace brings authority selection, development type and refusal themes together in one view.

Membership centres on access to the analysed application pool. The public demo gives a feel for the interaction, while detailed research belongs within the subscription product.

Open the demo workspace ↗

Start a conversation

Help shape
Refusal Atlas.

Share feedback on the product, discuss dataset coverage, or ask about membership and institutional access.

FocusRefusal Atlas · Planning intelligence software
EnquiriesProduct feedback · Coverage · Membership

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