I have been very pleased to have this first lab with project leaders from the MENA region:
@HadeerGhareeb , Egypt, Didi-Asks
khadija Ouabdelmoumene, Morocco, @Alphawomen
@salaheddine Ogontayo, Tunisia, Identity Co.
@sirine_bouslama , Tunisia, Datascience Academy
@ayari.taha , Tunisia, Artificial intelligence for alzheimer’s and dementia predicition
@MohsenMahdaoui ,Tunisia,PaillEco
@saif.eddine.laalej Morocco, Zelij Invent
@mohamed75 , Egypt, colex
@HIBA Sedouane, Morocco, diyafa
The lab have been moderated smoothly and efficiently by @khouloud.ouesleti
Here’s a short debrief of what we have done during the lab:
Lab 2 is about helping you to sketch your business hypotheses and to define your value proposition.
Since a startup has been defined as a temporary organization used to search for a repeatable and scalable business model, it’s very important that you formulate your hypotheses to be able to test later the riskiest ones in order to find your business model and start getting and growing customers.
In this respect, 90% of the startups fail because of several common mistakes. The first mistake is building something nobody wants. Avoiding it remains the top priority for any aspiring entrepreneur.
Using the lean startup methodology is very useful since it’s a scientific method to to discover if a proposed business model is viable based on validated learning and iterations.
Here’s a link to a short video about the lean startup methodology: https://youtu.be/X2YoHFuWkqs
So the first thing to start with is thinking about your assumptions and hypotheses that define the problem the targeted customer segment is having and the solution you are proposing.
Having a clear, accurate, relevant and measurable hypotheses is key to generate validated learning. This is why you should avoid having speculative hypotheses, using words like “like to” or “interested in” because they cannot be tested later on.
Here’s an example of how your hypotheses should be formulated: A [Specific Person] makes a [Decision/Behavior] because of a [Quantified Metric] .
In the presentation that we used during the lab and that I attached to this post, you can find additional templates of hypotheses and examples of “good” and “bad” hypotheses.
In addition to the problem / solution hypotheses, you should also sketch a persona. It’s a made up profile of an ideal customer or what is called an early adopter; It represents a customer in the targeted customer segment. Attached you can find a persona template that you can use.
Here’s a link to a short video about how to create customer personas: https://youtu.be/AVs59ddkzuQ
One of the most important hypotheses is the one about your value proposition. In this respect, a value proposition is not a motto or a mission statement but rather the answer to the question: why should the customer by my product? It can be something that create gain or remove pain but in all the cases it must be considered from the customer perspective.
There are several templates of value proposition however it would be better to draw a value proposition canvas (VPC) to help you visualize how the value you are offering matches your customers’ profiles.
Here’s a link to the value proposition canvas: https://youtu.be/ReM1uqmVfP0
Also, the value proposition canvas helps you to prepare the value proposition ad-lib template (please find the template attached).
We had a very interesting interaction of Q&A. Questions were about value propositions in multisided platforms and apps and the choice of persona when there are several customer segments.
The main insights from the Q&A is that you should prepare a VPC for each customer segment if you have more than one and if they are different in term of needs or jobs and also if you have a multisided platform. The same applies to customer personas.
A special thank to all the people who attended the lab and I hope that you found it helpful and useful.
Documentation:
Lab2 Presentation.pdf (3.0 MB) Persona template.pdf (60.9 KB) value-proposition-canvas.pdf (27.2 KB) ad-lib-value-proposition-template.pdf (32.8 KB)