Three experiments on premise validation using the pretotyping technique

Cooking App for Everyday Recipes: Suggestions Based on Ingredients You Already Have

Description
We know from experience that most college students or people just beginning to live alone tend to have trouble cooking. The idea of this app is to give users an easy way to check a variety of recipes, furthermore, it would allow users to register their ingredients so that they can search for recipes that they could do with what they have in home. The main objective of this application is to help users with little cooking knowledge to start preparing food and improve their culinary skills.

Hypothesis
People who are curious about learning how to cook would be interested in using an application for finding recipes according to specific ingredients.

Experiment description
The idea of the experiment is giving people a series of drawings that represent the user interface of the system, these drawings will be linked by hyperlinks. After that, the user will answer 3 questions about their experience. The purpose is to validate if they would be interested in using the application.

The process is the following:

  1. Give user a context of the application.
  2. Share the link of the pretotype with the users.
  3. Share the Google forms, with 3 questions that the users will answer.
  4. From 1 (not very useful) to 5 (very useful), how useful do you think the product would be?
  5. From 1 (not very interested) to 5 (very interested), how interested would you be in trying out the finished application?
  6. Would you recommend the working application to someone else? (Supposing it meets your expectations).
  7. Analyze the results of the experiment.

The message that is sent to the groups is the following:

¿Te interesa aprender a cocinar? Esta es una aplicación para buscar recetas, cuya función principal es la de agregar ingredientes (los que tengas en casa, por ejemplo) y buscar recetas en base a los ingredientes que agregaste.

Validation
We will measure interest based on the average obtained from user responses. We will interpret each of the results of the questions based on percentages, where 100% will be the highest interest, and 0% the lowest.

The Google form tool directly provides the percentage of results per question. The hypothesis is accepted if at least two of these considerations are passed:

  1. The total of users that think the product would be useful (4) or very useful (5) is equal or higher than 80%.
  2. The total of users that would be interested (4) or very interested (5) in trying out the finished application is equal or higher than 80%.
  3. 80% or more of the users would recommend the working application to someone else.

Results
The link and the form were shared in two different chat groups where 13 people tested the pretotype and answered the questions. The results are the following:

  1. A total of 10 users (77%) think that the product would be useful/very useful.
  2. A total of 11 users (84,6%) would be interested/very interested in trying out the finished application.
  3. A total of 11 users (84,6%) would recommend the working application to someone else.

Since two of the three considerations were approved, the hypothesis is accepted. We conclude that there are people who would be interested in using an application to search for recipes based on specific ingredients.

Nutrition Meal Plan Recommender

Description
The idea of this app is to get a recommendation of a meal plan based on your lifestyle, weight, height, and other medical data. The twist is that if you are not sticking to your dieting plan, the app asks the user possible reasons why this might be and according to the input the diet plan changes. The main objective is to help users find meals that could keep them healthy.

Hypothesis
People who care about what they eat would be interested in using an application for getting a custom meal plan recommendation based on their lifestyle and medical status.

Experiment description
A post was created that describes the general idea and we are inviting people who are interested to click on a special link that could give them more information about the product. However, this link serves merely as a counter. This is the message we shared along with the link:

App que recomienda planes de alimentación de acuerdo a tu estilo de vida, peso y e información de salud. Si no estás cumpliendo con el plan, la app cambia el plan de acuerdo a por qué le dices que no te está funcionando, p.ej. no te gusta el sabor, mucha preparación, monótono, etc.

The duration of the experiment is of one day.

Validation
We are going to share the link in some groups and we can count the number of visits that the page is receiving. This way we want to measure how many people out of group could be interested in the app.

Having this in mind we could measure the interest of the total group with the following formula:

Interest percentage: 100 * (clicks received / total number of people)

The hypothesis is accepted if the interest is greater than or equal to 80%.

Results
We shared the post in two groups, in the first group there were 22 people, and in the second one, there were 16. In total 38 people could see the post and click the link to get more info. Finally, we could see the number of interested people in the product:

Interest percentage: 100 * (9/ 38) = 23.68%

Since we didn’t get to the expected percentage, we can say that the hypothesis is not accepted. People who care about what they eat are not interested in an application for getting custom meal plans. They aren’t interested in the product.

All the Nutrients You Need in One Beverage

Description
I (Hernán Cervera) sometimes have a very tight schedule and I realize that eating alone takes almost 3 hours of my day, which I think it is a lot of time that I could invest on other tasks. I believe that other people are in a similar situation, and if cooking is involved, the occupied time might be even more. The idea is to create a beverage which contains all the nutrients that you need for a meal, making eating a matter of drinking something which doesn’t taste awful and your nutritional requirements won’t be compromised.

Hypothesis
People who usually have busy days would be interested in a drinkable meal.

Experiment description
A Facebook (FB) page is created for the fake company Nutrición Concentrada, which has a post about the drinkable meal, a fake product of course. The post contains a short description and a mocked image of the product.

The link to the post, along with a brief message, is shared to chat groups where we believe there might be people with tight schedules:

¿Quisieras invertir menos tiempo comiendo? ¡Este producto de Nutrición Concentrada ofrece los nutrientes de una comida entera en una bebida! En caso de estar interesado apreciamos reacciones a la publicación de FB, buen día 😁

The duration of the experiment is one day.

Validation
We measure interest by the percentage of positive reactions (like, love, care, wow) to the post by the members of all chat groups combined.

Interest = 100 * (positive_reactions / number_of_people)

The hypothesis is accepted if the interest is greater than or equal to 80%.

Results
The link along with the message was shared in two chat groups with total 30 people. The FB post got a total of 5 reactions of the type “like”, which corresponds to a positive reaction.

Interest = 100 * (5 / 30) = 16.66%

Since the percentage rate is lower than 80% (an in fact, much lower), the hypothesis is not accepted. We conclude that people who usually have busy days would not be interested in the product.

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Iván Alberto Aguilar Castillo

Iván Alberto Aguilar Castillo

Software Engineer, responsible, friendly and self-taught, with hungry to learn new things.