Project Everest

Adopted Experiment

[Proposed Experiment]: Utility Test Nutrition (Initial) Amisen April 2019

Kirrily Mann
Kirrily Mann | 8 months ago | in ROA **TRAINING**

Lean Phase: Solution


Assumption: Customers who had purchased and trialed a "nutrient box" for a one week period, felt satisfied that the product delivered the following values:
• Easy to access
• Convenient in delivery
• It increases nutrient/diet variety 


Time box: 1 Week


Success Metric:

Metric: The percentage of customers that are engaged and satisfied with the service


Green light: Proceed - develop a solution based on the utilities tested.

Success point: >60% of customers are satisfied (score +7)

Orange light: Optimise: re-evaluate the utilities tested.

Failure point: <30% of customers are satisfied (score +7)

Red light: Failure Protocol - go back to currency test, re-evaluate if people are willing to pay for a solution.


Experimental Build:

Using a survey we will be identifying how empowered and satisfied the customers are feeling after engaging with our product.


  1. How satisfied are you with this product

  2. Do you feel more empowered in your food choice

  3. Have you noticed a change in your life (and your families life)

  4. Are you consequently varying your food choice

  5. Would you recommend this product to others

  6. What would you change


Next stage: Conduct experiment

edited on 28th April 2019, 06:04 by Kirrily Mann

Felix Zerbib 8 months ago

Status label added: Experiment adopted

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Lily Partridge 8 months ago

Change your assumption to:
Customers who had purchased and trialed a "nutrient box" (or whatever the naming convention is) for a one week period, felt satisfied that the product delivered the following values:
• Easy to access
• Convenient in delivery
• It increases nutrient/diet variety

Ideally your experiment build was more fleshed out in terms of the entire process from initially providing them with the basic pack of food through through the F2F channel so that we know what you are validating.

To consider for your next experiment (should you be running this on a larger scale:
• Is it just families that are using the product? Are your assumptions disregarding th individuals that purchased. Change to 'customers' versus 'families'. Customers have already been defined in your earlier stages.
• Majority (if not all) of your questions should be quantitative so that you can assess viability. Multiple choice could also be a good way to do this for some of them, as well as the rating systems you currently are using.
• Consider adding some additional questions that help to validate the impacts further (have you noticed any changes to you or your family's health/have you attended the doctor or clinic more than usual/same as usual/less than usual in this period), how much money have you been spending on supplementary foods, etc.
• Metrics around growth rates of new customers: "How did you find out about us?" which will feed into your Viral Co-efficient and working out your LTV.
• Based on what you're considering in terms of future features, what multiple choice features could you test (which of the following features appeals to you most, or how would you rank these features best to least, etc.)?

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