📘 Overview of DiagnosticPrêt
👉 Summary
Applying for a mortgage in France is often a stressful and opaque process. Between acceptance criteria rarely made explicit by banks, disparities in treatment across borrower profiles, and the difficulty of anticipating the final decision, many applicants end up scheduling appointments without knowing whether their file has any real chance of being approved. DiagnosticPrêt fills this gap with a French simulator that evaluates the strength of a borrower's file in under two minutes. Unlike most calculators, which simply compute borrowing capacity, the tool returns a score out of 100 reflecting the probability that the file will be accepted by a credit institution. For first-time buyers, atypical profiles or applicants who have already faced a refusal, this instant diagnostic changes the game: it shows where you stand before mobilizing a broker, scheduling a meeting with your bank or reworking your file. This article walks through how the tool works, who it serves, and where its limits lie, while putting it in context against the French mortgage broker landscape and traditional online simulators.
💡 What is DiagnosticPrêt?
DiagnosticPrêt is a free web simulator that algorithmically evaluates the bankability of a French mortgage application. The tool asks twelve questions about the applicant's personal, professional and financial situation, then returns a score out of 100 along with a detailed analysis of the strengths and weaknesses of the file. The scoring logic mirrors that of a bank credit committee: it weights projected debt ratio, employment stability, the down payment relative to the loan amount, and banking management quality. While a mortgage calculator answers how much can I borrow, DiagnosticPrêt answers will my file be approved. This distinction is crucial for applicants in uncertain situations. The tool is published in France, hosted in France, and calibrated on the practices of French credit institutions. This territorial focus is a strength: it enables a level of precision that generalist tools targeting multiple markets cannot reach, and it ensures that the criteria reflect the regulatory and competitive specifics of the French banking landscape rather than averaged international benchmarks.
🧩 Key features
The simulator processes twelve parameters to compute its score. The first group covers the property project itself: type of project (primary residence, buy-to-let investment, secondary home), borrowed amount, loan duration and available down payment. The second group analyzes the professional situation: contract type (permanent, fixed-term, temp, self-employed), seniority in the role, and probation period for recent permanent contracts. The third group evaluates financial health: net monthly income, frequent overdrafts, and banking incidents over the past twelve months. Finally, the location of the property crosses the project against locally observed average price-per-square-meter figures. At the end of the flow, the user receives a numerical score, a profile categorization (premium, standard, fragile, needs work), and actionable recommendations tailored to the weaknesses detected. The site complements the diagnostic with a rich editorial ecosystem: dedicated pages for atypical profiles explaining their specific criteria, pages by reason for credit refusal showing improvement levers, and city-by-city pages providing local price benchmarks and lists of local brokers. This hub-and-spoke architecture lets users dig deeper into any particular aspect of their file after obtaining their initial score, turning a simple simulator into a structured research tool for navigating the French mortgage market with clarity and confidence rather than guesswork.
🚀 Use cases
Four primary use cases emerge from the tool. The first is preparing for a banking appointment: knowing the score in advance helps identify weak points to anticipate and prepare arguments before meeting a banker. The second is choosing between a direct approach and going through a broker. A high score suggests a direct approach to one's own bank will suffice, while an intermediate or low score justifies mobilizing a broker capable of defending the file across multiple institutions. The third use case is simulating the impact of different variables. By adjusting the down payment, loan duration or waiting until the end of a probation period, users can visualize how their score evolves and plan accordingly. The fourth use case targets applicants who have already faced a credit refusal: the tool helps them objectively understand the likely reasons and identify actions to take before retrying. Beyond these individual uses, brokers and wealth advisors also use the tool with their clients as a pedagogical aid to explain banking criteria.
🤝 Benefits
Three main benefits emerge from using DiagnosticPrêt. Time savings first: the tool prevents stacking up banking appointments for poorly calibrated files. Knowing in advance that one's score requires preliminary work allows focusing efforts on the right levers rather than enduring cascading refusals. Transparency next: the actual acceptance criteria of banks are rarely made explicit on the client side. The tool reveals the rules of the game and lets applicants make informed decisions about their project, including whether to delay it, restructure it or proceed immediately. Orientation finally: the score guides toward the right channel of action, whether a direct bank, a generalist broker, or a broker specialized in difficult profiles. This orientation saves weeks of trial and error for atypical profiles. Beyond these tangible benefits, there is a psychological dimension: for first-time buyers or precarious profiles, knowing where you stand before launching into a stressful process brings clarity that genuinely changes the home-buying experience and reduces decision fatigue.
💰 Pricing
DiagnosticPrêt is fully free for end users. No credit card is requested, no subscription is offered, and using the simulator does not require account creation. The publisher's revenue model relies on two sources. The first is broker referrals at the end of the flow, when the user explicitly expresses interest in professional support. The second is editorial content monetization through partnerships with financial institutions and mortgage insurers. This structure ensures the score itself is not biased by commercial considerations: the algorithm evaluates the file objectively, and the commercial dimension only intervenes downstream, based on explicit user consent. The free model also allows the tool to serve as a true public utility for the French market.
📌 Conclusion
DiagnosticPrêt fills a real gap in the French online financial tools ecosystem. By focusing on algorithmic pre-qualification rather than monthly payment calculation, the tool addresses a central question rarely treated elsewhere: does a given file have a realistic chance of approval. Its value is particularly clear for atypical profiles and first-time buyers, two populations historically underserved by free tools. Recommended for anyone about to start a mortgage application or trying to understand a past refusal, used upstream of a broker or banking advisor conversation rather than as a substitute for one. Used at the right moment in the buying journey, it can save weeks of wasted effort and turn a stressful unknown into an informed decision.
