How to develop your business through achieving goal of hypothesis

  • Created : Nov, 11, 2019
  • Last Updated : Jan, 21, 2021

Running and managing a business is full of risks, intuitions and headstrong decisions. A wise marketer or a businessman will always conduct wide research prior to forming decisions. A research has become an inevitable part for a marketer but good research begins with a great hypothesis.

Before going further, let us know what is a hypothesis ?

Hypothesis is an assumption or a prediction that you can create before conducting an experiment.

Hypothesis statements enable you to turn the valuable users’ behavioral insights into secured proposals. Also, they allow you to take action on these proposals.

What is the Goal of hypothesis

Hypothesis proves beneficial for driving sound and meaningful experimentation. Each of your hypothesis is an idea that needs to be tested after you receive the results of the experiment. What will it let you know? It will give you an insight into your visitors’ behaviors and expectations.  This, in turn, assists you in healthy optimization process. Also, you can easily accomplish your goal of Hypothesis in this way.

Let’s understand it better with Hypothesis example :

Let’s say you are running a purchasing funnel. While running a funnel, you observe a higher rate of abandonment. So, before conducting an experiment, you create a hypothesis that abandonment rates might be occurring due to the links in the funnels. Thus, you decide to delete the links. If the experiment turns out to be successful or in other words, visitors are completing the purchase. Your hypothesis turns out to be true. Also, you will have a clear insight into users’ and visitors’ experience. Now you can use the hypothesis example to optimize, what is next in your list.

Earn long term gains for your company through optimization driven hypothesis :

  • Create a mechanism for persistent queries.
  • Understand user’s pain points.
  • Perceive the possible benefits of the experiments.
  • Set up a common ground for creating ideas and research.
  • Link experiments to your company’s challenges.

A strong hypothesis consists of three different parts :

  1. Problem
  2. Solution
  3. Result
Let’s have a look at each component in detail :
1. Problem

You must begin the first step for achieving goal of hypothesis by defining the visitor’s issue or pain point. Also, you must have accurate sources that validate the existence of the issue. Make sure you create a hypothesis only after considering the problem from a visitor's perspective.

This way you can get to the root cause and solve the problem effectively.

Testing Hypothesis through visitor's issue

2. Solution

The next step of the hypothesis is to create a solution. Form a solution in such a way so that whoever reads the hypothesis must be able to understand it clearly.

Also, add logic to your solution to state why this solution is apt for dissolving the issue.

3. Result

The last step of a hypothesis is to forecast the results and combine them with your key business results. Remember to include the metrics that determine the success or failure of the experiment. Now decide the specific metrics that you will be using to track success in your experiment.

Let’s understand it clearly with the help of an hypothesis example :

Example :
  • Problem : Users find the products of the home page quite irrelevant.  Only 16 percent of users have clicked on it. 11 out of 20 users found no interest in them.
  • Solution : Set an algorithm for the featured products to showcase the products which the users have visited.
  • Result : Increase in the users’ percentage who clicked on the featured products and who added them to the cart.
What are the best practices while formulating a hypothesis

A well-curated hypothesis is not merely a guess or an idea. You must delve into direct and indirect data sources while formulating a hypothesis. First, you must observe customer’s journey through your site with direct data sources ( i.e. web analytics ) and indirect sources ( competitor views ).

Consider utilizing the data that defines your company’s goals completely. Data sources will give a solid validation for the existence of a specific issue. Therefore, you must never formulate a hypothesis based on your guesswork or intuition.

Best practices for testing Hypothesis

Formulate a testable hypothesis :

Identify the key metrics on the basis of which you will be determining failure and success of the campaign and experiment. This is an ideal way for testing hypothesis effectively.

Let’s analyze the above-discussed example :

We observed the increase in abandonment rates in the purchase funnel. We created the solution to the problem. i.e. to remove the links in the funnel. So, the difference between the original and variant version is the absence and presence of links. The impact of the variation can be measured in terms of conversion rates.

Utilize Hypothesis insights as a medium to acquire knowledge :

A well-formulated goal of hypothesis will unravel valuable insights about visitor’s behavior.  Also, it will trigger you to create many questions regarding user and their site experience.

  • Collect data regarding user’s behavior and use data insights to ask questions.
  • Create an informative hypothesis from the data insights.
  • Create a campaign on the basis of your hypothesis.
  • Scrutinize results to determine whether the hypothesis is confirmed or rejected.
  • Generate conclusions and use these conclusions to create new questions.

An effective hypothesis, therefore, helps you to solve your company’s issues and optimize web pages for unprecedented business growth. You can utilize the problem statement to unleash potential solutions for any issues. That is how you can repeat the process even if the created solution doesn’t provide you apt results. A hypothesis testing thus lets you focus on the problems that is restricting the growth of your company.