Written by Lucy Luo on December 03, 2020
Great innovation teams are able to gain momentum and build up stronger evidence over time with a series of experiments. In this blog post, we share one four-step example of how to execute and analyze multiple experiments in order to increase the strength of your evidence.
At the start, all you have is a business idea, something that you think will address a particular problem or pain point. You may have a basic inkling of who your customer segment should be and have even created a Customer Profile of them, but how do you know if you’re right? The first thing you should do is get out of the building and talk to your prospective customers. Customer Interviews are ideal for quickly gaining initial qualitative insights into whether the problem you imagined for your customer segment exists and if the value proposition you’ve designed resonates with them.
At this point, your evidence strength is very weak because people are just telling you what they may or may not do. However, it is very useful to capture some initial insights especially when you know nothing. We typically recommend a minimum of 15-20 interviews.
What you can do:
What not to do:
After gaining some qualitative insights from interviews, you should next aim to test your value proposition quantitatively at a larger scale. One way to do this is by spending a few hundred dollars a day on Google Display, Google Search, and Twitter Ads. This is a good way to test at scale if a particular pain or gain of your customer resonates stronger by creating two versions of the same ad, also known as Split Test. We have explained in detail how you can create an online ad using templates.
What you can do:
What not to do:
Each of these testing steps should build upon the strength of evidence from the previous test. Interviews were good at capturing first insights but what people say and what they do are often very different. It is important to follow up with stronger evidence by asking people to do something, whether it is buying something, using your service, or making an investment of time or other resources.
At this point the uncertainty of your idea is still very high, you don’t want to waste a lot of resources building something. The Concierge is a test to create a customer experience but manually without having to build anything. It is not possible to scale, since everything is done manually but it can give you firsthand learning on what is needed to create, capture, and deliver value to a customer.
What you can do:
What not to do:
Typically when designing your value proposition, you may have many features you want to include in your value proposition but you may not know where to start or if your customer is even interested in all of them. Creating a single-feature minimum viable product (MVP) is a great way to test whether a single feature addresses your customer problem. It will take a lot less time and resources as well to build out your entire value proposition. Releasing features one at a time also allows you to isolate and test a particular hypothesis.
What you can do:
What not to do:
Creating an experiment sequence does not mean it is a linear process. At every stage of development always try to find a way to get feedback from your customer to make sure you are addressing a problem they have. Be sure to increase the strength of evidence by getting your customer to do something but there is nothing stopping you from conducting interviews along the way to capture those insights.
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