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What Stage Is Your Startup?
5 questions. 2 minutes. A clear recommendation on your next step.
What should a startup focus on at each stage?
Startups fail at different stages for different reasons: pre-product companies fail from building the wrong thing, early-stage companies fail from premature scaling, revenue-stage companies fail from operational chaos, and scaling companies fail from technical debt. Identifying your current stage accurately determines which investments (product discovery, MVP build, process automation, or infrastructure) create the most leverage.
Based on your answers, you'll get:
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Your current stage (Idea, Validated, Revenue, or Scaling)
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The most common mistake at that stage
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Our specific recommendation for your next step
Do you have paying customers?
About the quiz
What should a startup focus on at the idea stage?
At the idea stage, the most important action is user validation before building. Startups fail at this stage by spending months building a product without first confirming 10+ target customers have the problem and would pay to solve it. A one-week discovery engagement with Code and Trust pressure-tests those assumptions before any code is written.
What should a startup focus on when it has its first customers?
At the validated stage, speed to 50 customers matters more than product perfection. The most common mistake is over-engineering features instead of using working validation to acquire more customers. An MVP build that ships in 8–12 weeks creates the leverage to do that.
When should a startup start implementing AI?
Startups should implement AI when manual processes are consuming team time that should be spent on customers and product. This typically starts at the revenue stage ($10K–$100K/month) when operational costs start compounding. An AI Audit identifies which processes to automate first.