Restaurant App MVP: Build a Reliable Venue Profile First

Start with the facts that identify and locate a venue

A useful restaurant profile begins with an unambiguous identity. Store the public-facing name, any commonly used alternative name, and a stable internal venue ID. The ID matters when records are edited, merged or connected to another system; names alone are not reliable identifiers. Include a physical address in structured fields, not just a single display string, so the app can show the address consistently and support map links or distance calculations. Where relevant, capture coordinates separately and provide a clear route to correct a misplaced pin. A diner should be able to distinguish similarly named venues and understand which branch or location a result represents.

Next, include the basic details that help a person decide whether to investigate further: cuisine or food categories, a concise description, and a price indication if the product has a defensible basis for displaying one. Treat categories as controlled values where practical, while allowing editorial text to add nuance. Avoid turning the initial profile into a long questionnaire. Fields that cannot be sourced or maintained consistently create apparent completeness without dependable information. As a hypothetical example, a listing for “Atlas Table” might show its branch name, street address, map location, cuisine categories and a short factual description. It should not imply that a particular diner will enjoy it; that is a separate product claim requiring its own evidence.

• Minimum identity checklist: stable venue ID, display name, branch or location label, structured address, map coordinates, and a correction path.
• Keep factual profile fields separate from promotional copy and subjective recommendations.

Make practical visit details clear and maintainable

For a discovery MVP, hours and ways to contact or visit a venue often matter more than sophisticated ranking. Represent opening hours by day and allow for a closed day, an unknown schedule, and distinct service periods where the venue supplies them. Do not silently convert missing information into “open” or “closed.” Show when hours were last checked if the team can support that signal, and make uncertainty explicit when it cannot. Useful additional fields can include a phone number, website, booking link, and whether the venue offers dine-in, takeaway or delivery. Include only options the business or a credible data source has confirmed.

Define what “current” means operationally before promising freshness in the interface. Each important field should have a source, a last-updated time, and an owner or update process. A profile may combine information entered by a venue with editorial review or a licensed data feed; preserve the source at field level when sources can differ. Give staff a way to correct errors, record the change, and review potentially conflicting submissions. If hours from one source disagree with a venue update, do not quietly overwrite one with the other: flag the mismatch for resolution or show a carefully qualified value. The right workflow depends on how the product acquires and governs its data.

bullets about data operations are omitted

• For each high-impact field, decide: who supplies it, who can change it, how it is checked, and what the app shows when it is missing or disputed.
• Test common failure states: renamed venue, duplicate branch, incomplete address, unknown hours, and an outdated booking link.

Defer personalisation until profiles earn trust

A profile foundation is not a requirement to build an elaborate restaurant data platform. It is a reason to keep the first data model focused and explicit. Separate venue identity, location, hours, contact methods and descriptive attributes so one update does not accidentally erase unrelated information. Record timestamps and change history for fields likely to become disputed. Plan for duplicates and closures as lifecycle states rather than deleting records without trace. These choices make later integrations and editorial workflows easier to reason about, while keeping the MVP smaller than a recommendation engine with multiple signals and complex user preferences.

Use a simple release gate to decide whether discovery is ready to expand. Select representative listings and verify that users can identify the correct branch, understand whether it is open based on the displayed information, and reach the venue through the stated channel. Track corrections and unresolved conflicts as product quality work, not merely content chores. Only after the team can explain where core details come from and how errors are fixed should it invest heavily in personalised ranking. The Michelin-related coverage is a reminder that recognition and reputation can shape perception; it does not establish that an award field belongs in every MVP. If included, label its source and date and keep it distinct from the venue’s verified identity and practical details.

• MVP release gate: identity is distinguishable, address is actionable, visit details have defined sources, and correction handling is tested.
• Defer taste profiles, behavioural ranking and award-led recommendations until the underlying venue records are trustworthy.