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What to prototype

17/27
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o inicia sesi贸n.

17.-What to prototype


What should you prototype?

  • Instead of the complete solution, it鈥檚 better to identify specific parts/variables to save time and money and be more precise with validations and iterations.
  • Choose the most important/risky part of your idea to prototype and validate.
  • Think about the most simple prototype that you can make for your ideas.


Consider

  • What do you want to learn?
  • What do you need to validate about your market, problem or solution?
  • What is the most important question to answer?
  • What are the most risky assumptions (hypothesis)?
  • Think practically about what you really need to try!. You don鈥檛 need to build the entire solution just to validate the most risky elements.
  • Be clear about what you are testing and how you will measure.
  • Be careful not to bias your results.
  • Any learning is valid and valuable, not just the confirmation of your hypothesis.


Guide to running a prototype test

  • Document everything (Photos, videos, notes, etc.).
  • Friendly welcome that builds trust.
  • Test purpose, clarify our intentions.
  • Intro to prototype, transition from real world to simulated world. Help them imagine what we are imagining with out protoype.
  • Interaction with the prototype, actively observe and give tasks.
  • Debrief with user, ask questions about likes/dislikes, etc.


Limit the sales ability during prototype tests, they鈥檙e not done to sell the idea. If you sell to hard, you鈥檙e going to bias the user. Remain neutral.

https://www.strategyzer.com/hubfs/Assets - Downloads/the-test-card-1.pdf

We don鈥檛 have to fall in love with our prototype because we need real and honest feedback to not get hurt by that

鈥淎ny learning is valid, not just the confirmation of hypothesis鈥.

Step 1: Hypothesis
We believe that:
Step 2: Test
To verify that, we will:
Step 3: Metric
鈥 an mesure:
Step 4: Criteria
We are right if:

Guide to running a prototype test:
(Document everything with photos, videos, notes, etc.)
.

  1. Friendly welcome: Build trust.
  2. Test purpose: Clarify intentions.
  3. Intro to prototype: Transition from real world to simulated world.
  4. Interaction with prototype: Actively observe and give tasks.
  5. Debrief with user: Ask questions about likes, dislikes, etc.

You are a scientist about your prototype:

  • Be clear about what your are testing
  • Be clear about how you will measure.
  • Be careful to not bias your results.
  • Any learning is valid and valuable.

Test card:
.
Step 1: Hypothesis
We believe that:
.
Step 2: Test
To verify that, we will:
.
Step 3: Metric
鈥 an mesure:
.
Step 4: Criteria
We are right if:

For make a prototype consider:

  • What do you want to learn?
  • What do you need to validate about your market, problem or solution?
  • What is the most important question to answer?
  • What are the most risky assumptions or hypothesis?
  • Think practically about what you really need to try?

What should you prototype?

  • Instead of the complete solution, it is better to identify specific parts or variables to save time and money and be more precise with validations and iterations.
  • Choose the most important or risky part of your idea prototype and validate.

Gracias

隆Piensa pr谩cticamente en lo que realmente necesitas probar !. No es necesario crear la soluci贸n completa solo para validar los elementos m谩s riesgosos.
Sea claro sobre lo que est谩 probando y c贸mo lo medir谩.
Tenga cuidado de no sesgar sus resultados.
Cualquier aprendizaje es v谩lido y valioso, no solo la confirmaci贸n de su hip贸tesis.

Gu铆a para ejecutar una prueba de prototipo
Documente todo (fotos, videos, notas, etc.).
Una c谩lida bienvenida que genera confianza.
Probar el prop贸sito, aclarar nuestras intenciones.
Introducci贸n al prototipo, transici贸n del mundo real al mundo simulado. Ay煤dales a imaginar lo que estamos imaginando sin prototipo.
Interacci贸n con el prototipo, observar activamente y dar tareas.
Informe al usuario, haga preguntas sobre gustos / disgustos, etc.

Que quieres aprender?
驴Qu茅 necesita validar sobre su mercado, problema o soluci贸n?
驴Cu谩l es la pregunta m谩s importante a responder?
驴Cu谩les son los supuestos (hip贸tesis) m谩s riesgosos?

This is a really good point of view of the scientific method, it is focused on the practisity and directed to product innovation