P7 — First-time owner pillar
Free tool · P7 first-time owner

Restaurant location scouting & scoring sheet (India)

Score 2 to 5 candidate sites side-by-side across 36 factors in 8 categories — footfall & visibility, catchment & demographics, accessibility & parking, rent & lease terms, build-out & layout, competition & saturation, statutory & risk, and operational logistics. Weights auto-tune for your format (QSR / casual / cloud / bar / fine dining), the ranking is rent-adjusted, and any high-weight low-score factor gets flagged as a possible dealbreaker. Print A4 landscape for the partner meeting, export CSV for the spreadsheet jockey, save in your browser between site visits. No signup.

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Ranking · Casual dining
Site details
Factor
Footfall daily (peak-hour count)
Weight for Casual dining: 4/5
Why

Stand at the site for two peak hours on a weekday + Saturday. Count walk-bys. The single biggest predictor of QSR / casual revenue.

Frontage width (≥18 ft preferred)
Weight for Casual dining: 4/5
Why

Wider frontage = more glass = more impulse walk-ins. QSR and bars live or die on this.

Signage visibility from main road
Weight for Casual dining: 4/5
Why

Can a driver / pedestrian see your name from 50m away? Setback, trees, pillars all kill this. Free advertising you either have or don't.

Corner plot or two-side frontage
Weight for Casual dining: 3/5
Why

Two faces of signage, cross-street eyeballs, easier U-turn. Adds 10-20% on traffic alone.

Factor
Catchment income bracket (≥SEC A)
Weight for Casual dining: 4/5
Why

Pull pin code SEC data. Fine dining and bars need SEC A households; QSR can survive on SEC B+ density.

Office density within 500m
Weight for Casual dining: 3/5
Why

Lunch and Swiggy/Zomato corporate orders. QSR weekday lunch and cloud kitchens are office-density bets.

Residential density within 1km
Weight for Casual dining: 5/5
Why

Dinner and weekend covers + delivery base. Casual and cloud kitchens rely on this.

Foot-traffic mix (mall / high-street / standalone)
Weight for Casual dining: 4/5
Why

Mall = guaranteed footfall, fixed CAM, lower margin. Standalone = lower rent, must self-generate traffic. Pick deliberately.

What the 8 factors capture

Footfall & visibility is the free-advertising layer — daily walk-by count at peak, frontage width, signage sightlines from the main road, corner-plot exposure. QSR and casual dining live or die on these; cloud kitchens can cheerfully ignore them. Catchment & demographics is the income, office-density, and residential-density profile within 500m / 1km — the structural ceiling on weekday lunch, dinner, and aggregator order volume. Accessibility & parkingcovers public transport stops, customer car parking, two-wheeler parking, delivery rider staging, and Uber drop-off ease. Indian tier-1 cities still have car-led casual dining customers; tier-2 and tier-3 are two-wheeler-led; cloud kitchens are rider-led. Get the right one wrong and you bleed covers.

Rent & lease terms is the cost gate — rent per sqft, lease tenure (≥9 years with renewal is the floor), lock-in length, escalation cap, security deposit. Most first-time owners over-index on the rent number and under-index on the structural lease terms; a 5-year lease with 12%/3-year escalation will quietly become unviable by year 6. Build-out & layoutis what your contractor and kitchen designer need: carpet area suitable for your format, kitchen-area %, exhaust/chimney duct route, three-phase power, water connection, PNG availability. Any one of these absent can add ₹3-10 lakh of unplanned capex. Competition & saturation, statutory & risk, and operational logistics wrap it up — direct competitors within 500m, anchor brand cluster effect, aggregator menu saturation; Fire NOC feasibility, FSSAI Central vs State, flood history, neighbour noise tolerance, liquor licence feasibility; Swiggy/Zomato rider density, cold-chain supplier reach, garbage handling, and staff commute.

How to weight by format

The tool already does this — but the underlying logic matters. A QSR needs frontage width 5/5, signage visibility 5/5, footfall 5/5, office density 5/5, and aggregator coverage 4/5 — but cares less about parking (3/5) or fine-dining-style customer demographics. A cloud kitchen inverts almost all of that — frontage 1/5, signage 1/5, but rider staging 5/5, PNG availability 5/5, aggregator coverage 5/5, kitchen-area % 5/5. A bar needs liquor licence feasibility 5/5, neighbour noise tolerance 5/5, late-night drop-off ease 4/5. A fine diningoutlet needs catchment income 5/5, customer parking 5/5, lease tenure 5/5, and tolerance for a much higher rent absolute (because ATV is 4-6x QSR).

The rent-adjustment in the ranking is a configurable cost penalty — 1 point per ₹1000/month by default. That converts a higher-rent better-location site into the same scale as a lower-rent worse-location site, so you can compare apples to apples. Tune the penalty in Settings if your format runs at a different rent-to-revenue ratio (QSR typically 6-8%, cloud 4-6%, casual 8-10%, fine dining 10-12%, bar 12-14%).

Where this fits