Enter venue and contract signals
Example data table
Use these scenarios to understand typical inputs and the expected output bands.
| Scenario | Attendance | Contract | Insurance | Security | Exits | Alcohol | Expected Band |
|---|---|---|---|---|---|---|---|
| Corporate meeting in hotel ballroom | 120 | 3 | 7 | 7 | 8 | No | Low–Moderate |
| Outdoor product launch with vendors | 600 | 6 | 6 | 6 | 6 | Yes | Moderate–High |
| Large concert with complex clauses | 8000 | 9 | 5 | 5 | 6 | Yes | High–Critical |
Formula used
This calculator uses a weighted scoring model:
- Risk Score (%) = ( Σ (factorScore × factorWeight) ÷ (10 × Σ weights) ) × 100
- Most factors accept 0–10 where 10 means higher risk.
- Insurance, security, and exits are inverse: higher quality lowers risk.
- Alcohol service is binary and adds fixed risk weight when enabled.
- Risk levels: Low < 25, Moderate 25–49.9, High 50–74.9, Critical ≥ 75.
How to use this calculator
- Enter the venue type and expected attendance for context.
- Rate each factor on the 0–10 scale using current facts.
- For “higher is better” fields, score quality, not risk.
- Click Estimate Risk to generate a score and actions.
- Download CSV for tracking or PDF for approvals and files.
Contract risk signals and why they matter
Venue agreements concentrate operational exposure into a few clauses. In this estimator, contract complexity carries a 15% weight because ambiguous cancellation, force‑majeure, or damage language often drives the biggest financial swings. Typical deposits range from 10–50% and may become non‑refundable after key dates. A score change from 4 to 8 on complexity alone can move the overall result by roughly 6 points on the 0–100 scale, making redlines measurable instead of subjective.
How the weighted score supports documentation
The calculator converts ten factors into a single percentage using a 100‑point weight budget. Capacity and insurance each contribute 15%, incident history contributes 10%, and alcohol adds a fixed 5% when enabled. This structure mirrors common file reviews: crowd load and coverage gaps are usually first‑order, while weather and vendor coordination are second‑order but still material. Keeping weights stable also helps compare venues across months without redefining your yardstick. For audits, store the exported PDF with signed approvals and change notes together.
Insurance, additional insured, and proof timing
Insurance strength is inversed, so higher quality reduces risk. Many events target general liability limits that scale with attendance and activity level, then add the venue as additional insured for ongoing and completed operations. Ask whether subcontractors must carry matching limits and whether umbrellas apply. Tracking certificate due dates also matters: collecting COIs 14–30 days before load‑in reduces last‑minute compliance failures and strengthens negotiation leverage.
Operational safeguards that reduce claim likelihood
Security readiness and exit adequacy each carry 10% weight because they affect injury probability and regulatory scrutiny. A practical baseline is documented staffing ratios, controlled entry points, bag checks where relevant, and a named incident commander. For egress, retain an occupancy confirmation, exit map, lighting check, and a short drill for staff. Moving either score from 5 to 8 typically improves the final risk score by about 3 points.
Using results to guide negotiation priorities
Use the top drivers list to focus edits. If “Insurance Gaps” appears, request higher limits, waiver of subrogation, and clearer responsibility allocation for property damage. If “Vendor Coordination” appears, attach vendor addenda, define who collects COIs, and set cut‑off dates for submissions. Scores under 25 indicate routine diligence, 25–49.9 suggest targeted improvements, 50–74.9 call for structured mitigation, and 75+ justify executive sign‑off and alternative sourcing.
FAQs
1) Does the score replace a legal review?
No. It organizes diligence and highlights drivers for review. Use it to prepare questions, document assumptions, and prioritize redlines before counsel or procurement makes final decisions.
2) What should I enter if a clause is unknown?
Score conservatively. If cancellation, liability caps, indemnity, or permitting duties are unclear, use a higher contract complexity score until the language is confirmed in writing.
3) Why are some fields “higher is better”?
Those fields measure quality. Stronger coverage, better staffing, and safer egress reduce risk, so the model inverts them to keep the final score consistent.
4) How often should we export reports?
Export after each major change: venue switch, attendance increase, new vendors, or insurance updates. This creates an audit trail showing how mitigations improved the score.
5) Can I compare multiple venues?
Yes. Run each scenario and use the session log exports to compare scores, levels, and drivers side‑by‑side in approvals and vendor selection meetings.
6) What is a “good” score for signing?
There is no universal threshold. Many teams treat Low–Moderate as standard, require mitigations for High, and mandate leadership approval or alternative venues for Critical.
Recent calculation log (session)
Up to 25 recent runs are stored in your browser session for quick comparison.
| Generated | Venue Type | Attendance | Risk Score | Risk Level | Top Drivers |
|---|---|---|---|---|---|
| No saved runs yet. Submit the form to add one. | |||||