Business experiments help entrepreneurs test their hypotheses. Rather than define the problem by making too many hypotheses, a digital entrepreneur can formulate a few assumptions, design experiments, and check them against the actions of potential customers. Once measured, the impact, the entrepreneur, will be closer to defining the problem.
- Define the problem by suspending the “why”
- Experiments: what, how, when
- Don’t track, measure for impact and traction
- Key takeaways
- Connected Business Frameworks
Define the problem by suspending the “why”
The most difficult, yet rewarding part for entrepreneurs is to understand the problem or a need existing in the marketplace. In short, the success of the product and the business model, in the long run, will be the side effect of how well a company solves a specific problem.
Problems usually have both functional, and psychological elements. Therefore, defining a problem adequately means solving for both functionality, and psychology.
But how do you get hold of a problem? One way to start is to ask why as many times as possible, thus drilling more and more into the problem. This is at the foundation of the five whys analysis.
While I like this approach for theoretical problem, if we have a business model which we want to test in the marketplace, let use experiments to gather quick feedbacks by the people we want to serve.
In short, we’ll formulate a few hypotheses around a problem then test that out, thus using a feedback loop to inform on whether we’re on the right path to solve the problem!
Thus, leaving the “why” suspended while we let the market tell us if we’re moving in the right direction.
Imagine the case you want to start a digital business model and test the monetization strategy for your publishing business. You have an existing audience but you’re not sure about what monetization strategy makes sense.
Do you survey them?
Not a good idea! What about formulating a few hypotheses and test whether they will pay for it?
Case study: subscription-based magazine
For the sake of helping our potential customers formulate the problem, we’ll start by formulating a few hypotheses:
- Hypothesis 1: my audience needs a curated weekly newsletter
- Hypothesis 2: my audience needs a set of premium resources
- Hypothesis 3: my audience needs a weekly group coaching session
Rather than go back and theorize about what our audience needs, let’s test our hypotheses.
Experiments: what, how, when
Defined the key hypotheses, for each of them define a key experiment. We want the experiment to be well defined, in terms of:
- How is the experiment structured? (process)
- What outcome do I expect from the experiment? (expectation)
- When will the experiment be deemed successful? (duration)
Connected to each of the hypotheses above craft your experiment:
- Experiment 1: how: I’ll use a pop-up form triggered on the homepage that explains how the newsletter works with a simple CTA to subscribe. what: each subscription will be deemed as a successful action. On a test of a 1000 people, 20 subscribers (2%) will make the experiment successful. when: the experiment will last a week from now.
- Experiment 2: how: I’ll use a dedicated landing page accessible from the main menu that shows the cover and intro of the book coming out with a simple CTA to purchase it. what: each purchase will be deemed as a successful action. On a test of a 1000 people, 20 purchases (2%) will make the experiment successful. when: the experiment will last a week from now.
- Experiment 3: how: I’ll use a dedicated landing page accessible from the main menu that shows how the group coaching session will work with a simple CTA to purchase it. what: each purchase will be deemed as a successful action. On a test of a 1000 people, 10 purchases (1%) will make the experiment successful. when: the experiment will last a week from now.
Don’t track, measure for impact and traction
Once set up the process, expectation, and duration be patient and let the experiment run till the end to prevent stopping it too soon.
Once you have enough data to draw any conclusion also use your instinct. For instance, if experiment number one provided better results but you feel like it won’t be as successful in the long-run, compared to say experiment three.
You might want to give a few other runs.
You can spend hours making assumptions about what your customers want, or you can formulate a few practical hypotheses and test them out.
While entrepreneurs get rewarded in the long-term for uncovering important business problems, often times this process of problem discovery requires a lot of experimentation, tinkering, and willingness to question our own assumptions.
One of the most effective ways is through a process of problem discovery made of looking at what your customers really do which connects to the concept of revealed preferences.
If you can uncover those unspoken truths from your customers or from the marketplace that is how you build an extremely valuable business in the long run!
Connected Business Frameworks
Other business resources:
- What Is Business Model Innovation And Why It Matters
- Successful Types of Business Models You Need to Know
- What Is A Heuristic And Why Heuristics Matter In Business
- What Is Bounded Rationality And Why It Matters
- The Complete Guide To Business Development
- Business Strategy: Definition, Examples, And Case Studies
- Blitzscaling Business Model Innovation Canvas In A Nutshell
- What Is a Value Proposition? Value Proposition Canvas Explained
- What Is a Lean Startup Canvas? Lean Startup Canvas Explained
- What Is Market Segmentation? the Ultimate Guide to Market Segmentation
- Marketing Strategy: Definition, Types, And Examples
- Marketing vs. Sales: How to Use Sales Processes to Grow Your Business
- What is Growth Hacking?