Use Cases
Should You Go For It? Real Decision Scenarios
Every major business decision is a bet on an uncertain future. These scenarios show how Incertive turns gut-feel decisions into probability-backed analysis - so you know the odds before you commit.
Should I Launch This Product?
Evaluate development costs, market demand, pricing, and competitive response. See the probability of positive ROI before you commit to building.
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Should I Hire a Team?
Model the costs, ramp time, and revenue impact of growing your team. Understand the probability of generating enough revenue to justify the investment.
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Should I Open a Second Location?
Analyze build-out costs, ramp-up uncertainty, and foot traffic variability. See the odds of profitability at 6, 12, and 24 months.
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Should I Expand to a New Market?
Model market entry costs, customer acquisition uncertainty, and competitive dynamics. Compare full expansion versus phased entry approaches.
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Should I Take on Debt?
Evaluate whether borrowing accelerates growth or increases fragility. Model debt service coverage across the range of revenue scenarios.
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Should I Invest in More Inventory?
Model demand variability, storage costs, and obsolescence risk. Find the right investment level that balances opportunity against overstock risk.
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Should I Sign This Lease?
Analyze a commercial lease against your revenue uncertainty. Compare lease structures and understand the probability of needing to exit early.
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Should I Change My Pricing?
Model the churn impact, revenue effect, and competitive response of a pricing change. Find the price point that maximizes probability-weighted revenue.
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Should I Outsource or Hire?
Compare the true cost of contractors versus full-time employees. Factor in ramp time, quality risk, bad-hire probability, and engagement duration.
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Should I Approve This Project?
Evaluate a project business case with realistic budget, timeline, and return uncertainty. Set contingency levels based on probability, not hope.
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Frequently Asked Questions
What kinds of decisions can Incertive analyze?
Any decision where the outcome depends on uncertain factors and the stakes are high enough to warrant careful analysis. Product launches, hiring decisions, expansion plans, lease commitments, pricing changes, inventory investments, project approvals, and more. If you are committing resources today based on assumptions about what will happen tomorrow, Incertive can help you understand the range of outcomes.
How does a go/no-go analysis work?
You describe your decision in plain language - what you are considering, what it costs, what the potential outcomes are, and what you are uncertain about. Incertive models the uncertain variables, runs thousands of simulated scenarios, and shows you the probability of different outcomes. You get a success probability, sensitivity analysis showing which factors matter most, and alternative approaches ranked by probability.
Do I need to provide exact numbers?
No. Incertive is designed to work with ranges and honest uncertainty. "200 to 500 customers" is a valid input. "3 to 8 months to break even" is a valid input. The platform works with your best estimates of the ranges, not false precision. In fact, using ranges instead of single numbers is exactly what makes the analysis valuable.
Can I model decisions that are specific to my business?
Yes. The decision scenarios shown on this page are common examples, but Incertive works for any decision you can describe. The platform adapts to your specific inputs - your costs, your revenue expectations, your uncertainties. You are not limited to pre-built templates or industry-specific models.
How long does it take to analyze a decision?
Most decisions can be described and analyzed within 15 to 30 minutes. You describe the situation, confirm the uncertain variables and their ranges, and Incertive runs the simulation. Results appear within seconds. You can then adjust assumptions and re-run the analysis to explore different scenarios.
Analyze Your Own Decision
These are examples. Your decision is unique. Describe it in plain language and get a probability-backed go/no-go analysis in minutes.
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