💥Testing startup hypotheses are both very risky and have a high potential return. Businesses must consider several risks when testing these hypotheses in the real world.💥

One way to mitigate this risk is to have a practical test that provides early feedback on what users want.

The second is the risk of building something wrong.

This can happen for many reasons, including lack of expertise, empathy, or inexperience with design and technology.

✨So what are some ways to rapidly test startup ideas?

-One way is through surveys and interviews.

-Another is through prototyping.

-Also, there is testing with real users (A/B testing).

This article will explain how each one works.

🌱Surveys and interviews:

If you wanted to learn if users preferred to use your product or mobile app to learn about new events in their area, you could send out a survey asking if they would like to receive an email versus an alert on their smartphone.

If you used Google Forms or Surveymonkey for the survey, it would be easy to look at the results and determine what percentage of people responded positively or negatively.

Here's another example:

Let's say that you're working on a chat-based customer service application and want to know which type of messaging service users would prefer.

You could create different landing pages that used a different messaging service (e.g., Facebook Messenger or an in-app system) and ask people which one they would prefer.

🥟Testing a prototype:

You will need to create a working demo of your product and show it to users or potential users in an interview for this method.

You can also conduct interviews with potential users and then test your assumptions.

An excellent way is to find out what the user wants, then create a prototype that embodies those features and shows it to them.

You could also offer them a prototype without any of your assumptions built-in and ask which parts they would prefer if given a choice.

🌿Testing with real users (A/B testing):

This is one of the most important steps because it can either validate or invalidate all your previously gathered data.

If you have a hypothesis about what elements of your website hold back conversions, you could test each and see which one performs best.

It would help if you chose a significant hypothesis to test, such as the value proposition or headline of an ad, so that it is more likely to impact conversion rates significantly.

Further reading: https://bit.ly/3m76aj6

There are many other ways to test a hypothesis as described here: https://bit.ly/30X8nFO

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