Pre-purchase recovery confidence report for consumers

Someone's laptop SSD crashed or their phone was wiped. They download a free trial, run a scan, and see hundreds of file names in the preview. They're about to pay $80 for the full recovery — but the preview doesn't tell them whether those files are actually intact, or just orphaned file table entries pointing at overwritten sectors. They pay, run the recovery, and get a folder full of corrupted JPEGs and 0-byte documents. This exact complaint appears as 'partial data recovery' and 'only completed partial recovery quickly' — the scan looked complete, the reality wasn't.

The reason this gap persists is structural: the companies selling recovery software profit from converting the preview-to-purchase moment. Showing a user that 60% of their 'recoverable' files are actually unrecoverable would directly hurt conversion. The user can't distinguish a real recoverable file from a ghost entry without running the actual recovery — which is behind the paywall. So the information asymmetry is profitable for the vendor and painful for the buyer.

Existing tools address none of this. Their free tiers are designed to show maximum file counts (maximises perceived value) while blocking actual recovery (forces purchase). There's no independent third-party way for a user to get a real estimate of recovery success rate before committing money.

An independent tool that runs a deep analysis pass — without recovering files — and produces a recovery confidence score per file category (photos: 73% estimated intact, documents: 40%, videos: 12%) gives the user actual decision-making information. This isn't a feature any recovery vendor will build because it directly reduces their conversion rate on users who have poor odds. The business model can be a flat diagnostic fee ($10-15) that's far lower than a wasted $80 purchase — users pay a small amount to avoid a large mistake. The need recurs whenever someone loses data, and the diagnostic can be a natural upsell to a partnered or in-house recovery tool for users who get a high confidence score.

What to build

Build a standalone diagnostic that scans a drive or device backup without recovering anything, analyses sector-level integrity for each detected file, and produces a per-file-type confidence score showing realistic recovery odds — delivered as a report the user gets before deciding to buy any recovery tool.

Where to start

Launch first as a web-based tool for Android device backups specifically, where ADB-level access is well-documented, the security surface is more permissive than iOS, and the WhatsApp/photo loss complaints are loudest — you can validate the confidence scoring model before tackling the harder desktop disk access problem.

The hard part

Accurate sector-level integrity analysis requires low-level disk access that antivirus software and OS security features (especially on macOS with SIP) actively block — getting the diagnostic to work reliably across consumer hardware configurations without requiring users to disable security tools is a real distribution and trust problem from day one.

How it makes money

Flat one-time fee per diagnostic report ($9-15), with no subscription. Optionally take a referral margin if the user proceeds to a recovery service after getting a high-confidence score.