Every formal determination the Housing Ombudsman has issued is sitting in a public database. Thousands of decisions, spanning every complaint type, every landlord category, every outcome from no maladministration to severe maladministration. The data is free. It is accessible. Your board almost certainly has no structured view of it.
That is the problem ScoreView solves. And it is a larger problem than most executive teams are treating it as.
The Data Has Always Been There
The Ombudsman publishes its determinations as part of its statutory accountability function. The Complaint Handling Code, mandatory from April 2024, requires registered providers to learn from complaints across the sector - not just their own. The expectation of structured self-assessment is written into the regulatory framework.
What no one built was the tool to make that expectation achievable without dedicating a compliance officer to weeks of manual PDF trawling.
ScoreView ingests the full corpus of Housing Ombudsman determinations, structures the data, and makes it searchable, filterable, and synthesisable. A compliance manager searching for precedents on damp and mould complaints gets a ranked, summarised set of relevant determinations in seconds - not after three afternoons in a PDF reader. A Head of Customer Experience searching by outcome type gets a structured view of maladministration rates across the sector for their specific complaint categories.
The underlying data did not change. The human effort required to extract intelligence from it did.
What Your Board Cannot Currently See
Here is the question I would put to any housing association executive team: when your board last reviewed complaint handling performance, what was the benchmark?
Most teams benchmark internally. Year-on-year trends, quarter-on-quarter volumes, percentage of complaints resolved within code timescales. That is necessary. It is not sufficient. It tells you whether you are better than last year. It tells you nothing about whether you are better or worse than your peers, or where the sector's concentration of maladministration risk actually sits.
ScoreView generates a landlord intelligence profile for any registered provider in the corpus. Total determinations, maladministration rate, most frequent complaint categories, three-year trend direction. Exportable as a one-page PDF, ready for a board paper.
That profile exists for your own organisation. It exists for every organisation the Ombudsman has issued determinations against. The Regulator of Social Housing is operating a consumer standards regime with genuine enforcement teeth. A board that cannot answer the question "how does our maladministration rate compare to comparable providers?" is carrying an assurance gap it may not have named yet.
The Complaint Category Risk Index within ScoreView addresses the second half of that gap. It ranks the most maladministration-prone complaint categories across the sector, with trend direction indicators, directly aligned to the Complaint Handling Code self-assessment framework. Your team does not need to derive this from scratch. ScoreView derives it from the full corpus and keeps it current as new determinations are published.
The Reporting Cost Nobody Talks About
Compliance reporting in social housing is expensive. Not always visibly so, because the cost is absorbed into the time of analysts, compliance leads, and legal teams rather than appearing as a discrete line item. The hours spent searching the Ombudsman website, cross-referencing PDFs, manually compiling precedent summaries, and building board briefings from scratch represent a material overhead that almost every mid-size housing association is carrying without measuring it.
ScoreView compresses the research phase of that cycle significantly. Saved searches with weekly email alerts when new determinations matching a configuration are published mean that monitoring is continuous rather than periodic. The AI synthesis layer - built on a frontier language model - produces plain-English case summaries and cluster narratives that a compliance manager can read in two minutes rather than twenty.
The downstream effect on reporting costs is not theoretical. When the manual research burden drops, the time available for substantive compliance work rises. That is the economic case for the product at practitioner level.
At board level, the case is different. Structured, current, benchmarked intelligence on complaint risk changes the quality of the governance conversation. A board briefing that contains your maladministration rate, a peer comparison, and the sector's top three complaint risk categories by outcome is a qualitatively different document from a year-on-year volume chart. It enables a different quality of scrutiny.
What This Means for the Market
Housemark has demonstrated for years that the social housing sector will pay for structured, benchmarked data intelligence. No dedicated SaaS product has occupied the specific niche of Housing Ombudsman case intelligence. ScoreView moves into that space, priced for the mid-market: registered providers with 1,000 to 30,000 homes, where compliance resource is real but not unlimited.
The Awaab's Law Phase 1 requirements, in force since October 2025, have brought complaint handling into sharper executive focus than at any point in the sector's recent history. The RSH consumer standards regime means that complaint risk is now a first-order regulatory concern rather than an operational one. ScoreView arrives at the moment when the sector's appetite for structured complaint intelligence is at its highest.
For data analysts and researchers, it represents something rarer: a genuinely clean, structured, AI-synthesised dataset built from a corpus that has historically required significant manual effort to work with. The semantic search layer means natural language queries surface relevant determinations without the analyst needing to know the Ombudsman's exact categorisation vocabulary.
The public data has always been there. ScoreView makes it work.