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💡 Create a new experiment, and fill in the
Name, Riskiest assumption, Type of experiment, Learning goals and Dates.
- Need a survey tool?
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Untitled
Experiments
Assumption backlog
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💡 Ask yourself: how much evidence do you have on your startup up till now? Is it enough data to convince a neutral party or would you like to get more datapoints to sharpen your business model and decrease your risks?
Below are the elements you can also find back as boxes in models like the Business Model Canvas. Pick the one that is your riskiest at this moment, make it specific to your situation and form that into your first upcoming experiment.
These questions are arranged based on priority from top to bottom in a general sense. For every startup this varies.
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Desirability
Problem
- We understand what exact problems people experience
- We focus on a problem that people currently classify as severe; time/costs
- We understand what they are already using/doing or what doesn’t satisfy their needs
Segment
- We know the characteristics of people who experience the most severest problems, and who don’t experience problems
Market
- Our addressable market is large enough (>1 billion $)
Proposition
- Our proposition of the product is appealing
Solution / Key activities
- Our product solves the problem of our customers (well)
- Our key activities deliver the promise in product/service - Feasibility
- Our product is better than anything out there (competition, substitutes)
Channels
- We know how to reach our target group (cost)effectively
- We know how to get the product to the customer (cost)effectively
Viability
Business model
- People are willing to pay money for this product
- Our business model matches our target audience well
- Our pricing matches our target audience well
- Our business model is sustainable for us (when large scale)
Scalability
- We are able to grow rapidly, whilst keeping low costs
Partners
- Our key partners and suppliers have agreed to work together
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💡 Feel free to reach out to me for any questions
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