<aside> 💡 Create a new experiment, and fill in the Name, Riskiest assumption, Type of experiment, Learning goals and Dates.

• Need a survey tool? </aside>

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Experiments

Assumption backlog

<aside> 💡 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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Problem

• We understand what exact problems people experience
• We focus on a problem that people currently classify as severe; time/costs

Segment

• We know the characteristics of people who experience the most severest problems, and who don’t experience problems
• We understand what they are already using/doing or what doesn’t satisfy their needs

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

Channels