Hypothesis Creation & New Solution Design

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There are two things - and they are causes and blocking. A cause can also be that muscle seizes when the force stops moving though a blocker may be behavioral or situational. This is important for us to do things that impact the situation. By transcending simple cause we should explore blockers and expand our capacity for solutes and ions. And remember, behaviour is the medium of design - Robert Fabricant. So that's your idea. Write as many as you think you can. It is very much preferred if they are based on the actual study. And now you come at an issue we have back problems: back pain. Back pains. Go on home and mail.

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Imagine the change you want and write it down (hypothesis creation)

If you have a list of hypotheses that are related to pain, then your reply to the question about what you want is much easier. There's a good chance it will be something along the lines of "to enjoy life with no back pain!", so now we need answers to the following questions: how to solve the problem? Why this hypothesis? How to get it?

It is essential to remember that all hypotheses of solutions should be checked, verified, validated, and generally improved by the people who use them. They must fit into the way you live your life or they will not stick.

Now we can understand how our new ideas about what we won't look like:

We get rid of the back pain and enjoy life without it!

The first thing we learn from this is that we could try to solve this problem in many different ways. As long as the solution meets the criteria above, it doesn't matter how or what we do about it - as long as we can provide a way out for those who want to leave.

It's worth remembering that the market already offers a lot of solutions for back pain. So this is an opportunity to find out which solution is the best on the market right now, and what aspects of it can be improved. For example, if your target group has some specific characteristic (age, gender), then you should probably take into account that some solutions will work better for them than others.

It's also a good practice to check how much people are willing to pay for a solution. This can help you figure out whether money is the main problem, and if not, what needs to be improved so that people will get rid of pain more cheaply or free of charge. In the end, you can even create a solution that is not related to money at all, because for some reason it will make them happy in other ways.

The next step in the process of idea generation is to come up with ideas about how to solve your problem. This involves creating product concepts and creating the corresponding solutions - i.e., services or products. For example, one of the hypotheses that we came up with was "if I eliminate all chemicals from my cooking, then back pain will go away". So the next logical step is to think about how this hypothesis can be translated into a product concept.

It may sound silly, but the first thing you need to do is to imagine yourself as a company that develops and sells chemicals. If your first thought is that it's impossible to do, then there's a good chance you have not yet been able to see the world from the perspective of those who would buy this product. To do so, try as best as possible to put yourself in their shoes and imagine what they want.

You should also think about the product's name. It must be unique and original - otherwise, there will be confusion in your customers' minds. Also, while thinking about the product concept, you need to figure out how it will look like or sound like (if it's a service), what it's made of; if it has a package, what kind of package it should have; if there are any symbols or logos, how they should look like. And all this needs to be consistent with your strategy and the general concept of your company.

So you may come up with some more hypotheses on how to solve the problem:

-I will keep chemicals away from my dishes.

-I'll wear something that will help me relax (a bracelet, a ring).

-I'll buy stuff that will relieve back pain (yoga balls for example).

You can also come up with other strategies to solve the problem. For example, you could create an app that has soothing music or sound effects; or a service that helps you relax and lead a healthier lifestyle. Or perhaps some people just need a personal trainer or a book on back pain relief.

The above strategies are not as good as the first one - but if we didn't check all possible options, we would lose precious time on those that will not work at all. We'll save them for a future post!

So, now you have an idea about the future product concepts and strategy. And if you need to develop a solution that can be used already now - then it's time to create your MVP (Minimal Viable Product).

Conceptualize this as well as possible: what does it look like? what does it sound like? what kind of people will it work for? What are the benefits for them, and how does it help them solve their problem. Decide whether you want to create a simple version of your future product, or if your MVP should also include pieces of the future product that can already be used now - but don't forget that the MVP needs to include your idea and nothing else.

This is usually a very difficult step, so if you want to create an MVP and don't know how — we'll tell you more here soon!

Now we need to check whether this solution solves the problem for those who will use it. They must see your product as something that can help them solve their problem, so you need to present it in the best possible light. For this test, you will need your target group - at least five people who are interested in solving the problem using your product.

Before you start testing, go over all of your hypotheses and solutions carefully. You have to be sure that you have not missed anything. If there's something that's not clear or is still unclear, then fix it - otherwise, your test will probably produce bad results.

How to Conduct the Experiment

To devise and perform an experiment using the scientific method, you need to make sure that your hypothesis is testable. To be considered testable, some essential criteria must be met: There must be a possibility to prove that the hypothesis is true. There must be a possibility to prove that the hypothesis is false. A hypothesis is a statement that can be tested by scientific research.

If you want to test a relationship between two or more things, you need to write hypotheses before you start your experiment or data collection. There are several research methods to choose from. Experimental research methods are used to demonstrate causal relationships between variables. In an experiment, the researcher systematically manipulates a variable of interest (known as the independent variable) and measures the effect on another variable (known as the dependent variable).

The very best way to experiment is to conduct it offline, in-person ( face-to-face ). This is how all successful entrepreneurs do it. However, it's not always possible to contact your target group over the internet - you can only do that if you have a relevant audience or an MVP already released. Also, running offline experiments is much more complicated and much more expensive.

Make sure you have a testable hypothesis made in advance, for that purpose you can do a research hypothesis or collect data on prior research. Scientific hypotheses are better be based on independent and dependent variables in order to prove your point better.

If that's the case, then one of the best solutions is the "Mock-Ups Test". This is a test in which you create something like your future product and show it to your target group. Then you ask them for feedback.

Customers excited about testing often jump straight into hypothesis generation or even test creation. Experiments created this way may help to alleviate certain frustrations on the site, but they often fail to get at the root cause: assumptions about visitors or other discontinuities that surface in the site design.

If your research involves statistical hypothesis testing, you will also have to write a null hypothesis. The null hypothesis is the default position that there is no association between the variables. The null hypothesis is written as H0, while the alternative hypothesis is H1 or Ha.

This does not mean that you should build the entire service or program! No - this means that with the help of designers, developers, and other specialists you need to create at least one page (or screen) which can show all the information you would want to give your customers. You can show it using pictures, videos, or just text - but you should provide some examples that will let people imagine what your product is like. This page doesn't need to be interactive.

You need to record the test and write down everything that people say about the page. This way you'll be able to figure out what they like and dislike, whether they think it's easy or difficult to use, and what information they would like to see in this presentation (and whatnot).

After that, you need to analyze all of this data. And don't forget the most important thing - your solution needs to solve the problem of your potential customers! If it doesn't, then you need to go back to the drawing board.

It may seem that this is a long and complicated process, but don't worry - we'll tell you more about how you can do it yourself in one of our future posts!

In the meantime, if you have any questions or ideas - get in touch with us on Facebook, Twitter, or LinkedIn!

The beginning is the best time to validate them

Before you write a single line of code, create a wireframe, or take your product for a test run, we recommend that you think about all of the possible ways in which your product could fail. These will be the basis for generating new hypotheses and solutions - and later on for testing these hypotheses.

We suggest that you start by listing all of the things that can go wrong in one or several Excel sheets. It's best to have separate sheets for each issue, with a description of what it is and why it might be important later on. Once you've finished creating your list, try to find solutions to these issues which include your product in one way or another, and add them to your sheet.

You can even make a brainstorm where you and other members of your team write down all of the ideas that come to mind about how you can fix this issue.

If it's hard for you to think up multiple solutions, then don't worry - we'll help you with that. If you're interested in knowing how to solve some of the more common problems, then check out our knowledge base - it's got plenty of free guides on all sorts of topics related to business and startups!

The most important thing is to understand that having relevant hypotheses before even starting your experiment is good because if one of them fails, you'll be able to get rid of it and move on.

If you want some examples, then check out our article about split testing (online experiments) where we talk about the most popular problems and their possible solutions!

On another note, don't choose truly random hypotheses - stick with ones that have a good chance of being true in at least a couple of scenarios. Otherwise, you'll have a higher chance of failing with your experiment and wasting tons of time doing so!

If it's too late, or your hypotheses are randomly generated - then consider getting some professional help from us. Our entire team is full of people who have done this kind of work thousands upon thousands of times and can help you determine just what could go wrong with your product - and how to fix it properly.

The same goes for if you're having trouble thinking of multiple hypotheses, don't just choose one! Otherwise, there is a chance that the experiment will be biased towards this hypothesis is true, even though it's not the case (or there might be another hypothesis that is the correct one).

You're better off choosing more than one hypothesis and testing them all. If you're interested in reading more about this, then check out our article about A/B tests where we talk about why you should use multi-hypothesis testing!

Start vision

Your next step is to think of a vision for your product. You need to stand in the shoes of your potential customers, seeing the value that it brings them! It may sound difficult, but there are plenty of ways you can do this today, including using tools like KISSmetrics, SurveyMonkey, or even just sending an email to potential customers asking them a bunch of questions.

Quick example

I want to create a new online dating service that will be popular, so I think about my own experience with dating websites and what could have made me use them more often. Then, I ask friends if they know someone who is constantly looking for dates or has some trouble finding them. Finally, I think about the problems that these people experience when looking for dates and how this new site could improve their lives in some way!

When it comes to creating your vision - don't worry if you can't think of that many things or even any at all. At this stage, there are no wrong answers! Simply put, the most important thing is to find a problem that's worth solving and design a product around it. This way, you'll be able to observe if people are willing to use your product, even before finishing it!

Now, let's say that you have your list of hypotheses and what could go wrong with them - the next step should be considering which experiments you want to conduct. To do so, pick the one where you think there's a high chance of success! It might take some time before getting this right - but remember, each experiment has its result that can help you determine what your next step should be.

Table of contents

While you're working on visualizing your vision, you need to work on creating a table of contents for what will happen if this experiment succeeds. This includes the steps that you'll have to take to make it work!

Keep in mind that they won't all be relevant at all times - but there are some general steps that every product needs to go through for it to be successful!

The following steps are the ones that you need to consider before starting your experiment:

- Research On Your Target Audience (demographics, interests, behaviors)

- Brainstorming (define problems and brainstorm solutions with different groups of people)

- Creation of Test Plan (get straight to the point and outline your test plan!)

- Creation Of The First Landing Page (use this as a prototype for what it will look like once finished)

- Testing Your Hypotheses (try out different versions of your landing page using online tools)

- Refining & Tagging Experiments - Using Data To Determine Success (look at the metrics that you'll want to track while creating your landing pages)

- Launch Page And Continue To Measure (now that you've got an initial version of the product, show it to other groups and get feedback)

What does success look like

On top of knowing what should go into your table of contents - figuring out what success looks like is one of the most important steps when it comes to experimenting with your customers! As we mentioned earlier, you need to be able to see what's going on.

The easiest way for doing so is by creating a hypothesis and defining what would indicate that this experiment was successful. It can even be something simple, such as seeing whether or not people are willing to use your product! If you're still struggling with this, don't worry - there is another way that will help you determine if the experiments that you've conducted were successful or not!

What To Do Next

After considering what would indicate success - it's time to measure whatever metric you've defined. Now, this doesn't mean that you should stop gathering customer feedback! Simply put, what metrics offer the best way of measuring success is by considering both qualitative and quantitative data.

- Qualitative Data

includes user feedback through surveys or interviews. This means that you can get more insights on why people think your product is great (or not) - which is the best way of getting more ideas on what you need to change and why!

- Quantitative Data

this data comes from metrics such as the number of page views, click-through rates, conversion rate, and so forth. This can be hard if it's your first time running an experiment - but some online tools will help you measure your landing page without much hassle!

What is the product design hypothesis?

Creating a product design hypothesis states that you're going to go through the steps of creating your landing page and your table of contents. This is so you can have all of the information from earlier in one place where it's easy to understand.,

To do this, you need to create a 'what if' statement or something similar - think of it as an 'if this happens, then that will happen next!' There are some great examples out there to help you get started on thinking about what your hypothesis might be!

A product design hypothesis can also help you determine whether or not the product design experiment was successful - why wouldn't it? If most people seem interested in using your product after they've seen your landing page, then it most likely means that you are on the right track!

How To Design Your Product Experiment

So now you have an idea of what success looks like, but how do you design your experiment? It's easy! You just need to follow these simple steps:

-First off - collect qualitative data about your target audience and create a list of user personas to make sure that you're designing for the right people.

Afterward, think about what questions they might have when it comes to using your product. If you can't figure this out on your own, ask some of the people from earlier - since they are the ones who are ultimately using your product!

Next up, think about what tasks they're trying to do and create a list of them that will help you determine whether or not they know how to use your product. Now that you've got the requirements for your landing page, it's time to create one!

- After you've created your landing page, you need to collect quantitative data about the metrics that matter most for this experiment. You can do so by using an A/B testing platform - it's easy and will help relieve some of the pressure!

Afterward, it's time to determine whether or not any of these tests were successful! Designing experiments isn't easy - so don't overwhelm yourself by trying to create the perfect experiment! Instead, focus on creating one that will give you success in some way, shape, or form.

Nowadays, there are many effective tools available online - but more importantly, they are accessible without even requiring a single line of code. If you're struggling with experimenting on your own, try out some of these tools! As I mentioned earlier - they are great for everything from getting traffic to your landing page, creating links that help boost SEO rankings, or even social media sharing so you can get feedback from friends.

Also, remember that it's just as important to track the negative results of your experiment - even if it didn't turn out the way you wanted it to! It's interesting to see what went wrong and can help you figure out why people didn't want to use your product. A good example of this is a huge electronics company that was trying to sell their new line of TVs online - not everyone bought into their marketing plan, so they had to create a new landing page and try again!

Product design is tricky - even for the most experienced of companies. If you're just starting, however, keep your head up and just learn from the mistakes that you make along the way! You'll get there eventually if you put time into it. Hey - maybe one day you'll have a wildly successful product on your hands!

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