Which UK problems are rising. Which appeals succeed. Which councils are slowest. Which scam letters are spreading this month. The dataset is built by SortedUK users who opt in to share their outcome anonymously after a saved case is resolved. No general AI has this dataset.
A general AI knows everything ever written about UK benefits, debt and councils — up to its training cut-off. It does not know what's happening right now, in real UK households, with real outcomes. This map is that missing layer. It starts small. It compounds with every shared outcome.
Every category lists: cumulative cases shared, win rate, average outcome value, and the national baseline from the relevant UK official body (DWP, NHS, FOS, etc.) so users can compare.
Householders who used /council-tax-band to formally challenge their VOA band. Wins include rebanding + refund of past overpayments.
Adults using /pip to claim then through MR or First-tier Tribunal appeal.
Drivers using /appeal-parking to challenge council PCNs, private parking (POPLA/IAS) or bus lane fines.
Over-66s using /pension-credit to claim. DWP baseline: ~64% awarded, avg £4,200/yr.
Householders challenging incorrect energy bills, demanding credit-balance refunds, or escalating to the Energy Ombudsman.
Cardholders using Consumer Credit Act 1974 Section 75 (credit card) or debit-card chargeback.
Families using /chc for CHC funding application or appealing refusal.
Tenants using /council-repairs to demand repairs or escalate to the Housing Ombudsman.
A general AI (ChatGPT, Claude, Gemini) can read everything on GOV.UK + Citizens Advice + StepChange + every UK case-law database. It can give you a competent explanation of any UK consumer issue. What it can't do is tell you what's actually happening in real UK households right now. It can't tell you that 84% of people who got this specific HMRC letter last quarter resolved it by providing this specific evidence. It can't tell you that your council is responding faster than the national average. It can't compare your appeal's chance of success against the actual win rate of similar appeals in your postcode.
That data has to be built. It can't be scraped or generated. Sorted is building it — in public, with discipline, anonymously, with a published threshold (≥30 records before headlining a category number). After 12 months it's a national reference dataset. After 36 months, councils and journalists cite it. After 60 months, it's the canonical UK consumer-help layer.
If you've ever used Sorted to fight a Council Tax band, claim Pension Credit, appeal a parking ticket or push for council repairs — mark the outcome on your saved case in Passport. That single tap turns Sorted into the only UK consumer-help platform with a public, verifiable win rate.