Startup solutions generally start out based on a founder’s hunch, and, in the early days, most of the strategic planning and management of the business happens in the founders’ heads. However, as the team grows to include dedicated members in key roles such as product development, marketing, operations, and customer support, and as sources of information about customer needs, product usage, costs, and customer behaviors multiply, founders need to organize their thoughts and test their ideas more methodically.
Keeping a growing team on the same page, especially as hypotheses and insights about product traction and value proposition evolve almost daily, can be a challenge, especially at the point when it may still be premature to implement hierarchy and organizational processes.
However, team complexity and dynamism is only part of the issue. As data reveals new information about early users, validates or invalidates your proposed value proposition, and informs product iterations, founders need to find a way to update their own thinking and assumptions based on this data, to improve the business. This is critical, but can also be very difficult, as founders generally start with strong feelings about the type of customer their product would serve and how those customers would use or feel about the product. It can be hard to incorporate new information that challenges these feelings. It’s important to maintain a careful balance between staying committed to the original vision and also being open enough to incorporate new information, especially about customers needs and experiences, and evidence from early efforts at achieving product-market fit.
Coming together as a team to form a consensus on the company’s vision, the product’s proposed value proposition, and important growth milestones, based on evidence, are critical to achieving product-market fit and accounting for increased business complexity. A team that is misaligned and pulling in different directions will find it difficult to achieve traction and growth. Your value proposition is not a once and done strategy, so you need to keep refining and iterating it, informed by the data. Startup teams that don’t come together often to improve on their value prop find themselves continuing with business as usual, even when the product is not working.
Strategyzer’s value proposition canvas is a useful tool that can provide a conceptual structure to define, and refine the value proposition over time. The canvas enables startups to build a strong foundation for identifying additional value propositions and testing proposed solutions against the firm’s core value proposition. This helps founders ensure that the business is continually getting smarter and sharper, thereby making progress toward product-market fit.
The leadership team should periodically engage with this canvas in order to revisit critical assumptions and hypotheses (that need to be tested/confirmed) about the proposed value proposition. Once drafted, the canvas should be discussed in depth with the team, likely in a workshop format, in order to get everyone’s thinking in the mix.
The value proposition canvas provides a comprehensive snapshot of your target customers’ jobs (what they’re trying to get done), the pain points associated with their jobs, and the gains (the benefits) they might experience from using your product. This will provide a better sense of what value your product offers and whether it might be a pain killer, vitamin or candy. The canvas may also show where there is room for improvement or reveal what may be going wrong. This framework helps articulate what your product needs to do in order to solve a problem for your target customer and is especially valuable for teams performing user research, customer support and product development tasks.
It is helpful to go through the canvas with an external consultant who can reflect back your statements and thoughts and highlight any inconsistencies. With a skilled facilitator, the whole exercise should only take a few hours. Once you have done a thorough job the first time, you can repeat it as a team without a facilitator. In that case, it can be helpful to ensure that someone is tasked with pushing the team to distinguish between facts and assumptions.
The canvas can be useful at many stages: as you are developing an idea, as you test an MVP, or as you think about adding features, partnerships, or additional products. Doing this exercise regularly can really help your team understand exactly what is going to appeal to users and what they will find difficult, and how you can work towards profitability. More specifically, if you find you have a low retention rate, chances are customers aren’t finding enough value in your product to stick around—this would be a good time to go back to the drawing board and revisit your value proposition.
No additional expertise is needed beyond the skills your team already likely has. We recommend that subsequent iterations of the canvases be made along with the wider team and not just the leadership team.
The Value Proposition Design book by Strategyzer has all you need to know about this tool. This video explains the canvas and the process for filling it out. Below, we outline the key steps.
A. There are two sides to the canvas–the customer profile and the product value map. The first step is to fill out the customer profile. Here, you illustrate three aspects about your target customers:
B. Next, complete the product value map. Here, you illustrate three elements of your solution:
C. Once this is complete, articulate the critical assumptions you have about your value proposition. These will be tested during the problem validation phase. Examples of critical assumptions might include:
Get your team to do this separately, then plot their answers on a graph ranging from known to unknown, and more critical to less critical, to see how each of you thinks about the assumptions:
D. Finally, convert your most critical assumptions into a series of hypotheses that can be tested. The framework below can help you reframe assumptions as hypotheses:
IF we provide _________ (solution details), THEN _________% or _________ (a number) of our target customers WILL _________(what specific behavior will take place in response?)_________.
Visualizing retention by cohort will allow you to delve deeper when things may not be going well. You can, for example, see if there is a segment of users within your user base that has higher retention than the average. If so, this could mean that your product isn’t for everyone, as you first thought it would be, but that there are certain characteristics that define a subset of users who are finding more value in your product than others.
In the below example, segment X has considerably higher retention than the rest of the segments. Try to find out who they are, why they are using your product at such high rates, and how many of them are out there so that you can target them more reliably or adjust your product to appeal to more segments. Don’t forget to find ways of rewarding your early champion users so they remain loyal.
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