What are the benefits of the MDMV process?
The MDMV process gives structure and evidence to early market exploration. It helps innovators discover
who really benefits from their technology — and by how much — before building a product. By translating
potential improvements into measurable KPIs and “value cases,” it makes business relevance explicit and
comparable across use cases. This reduces guesswork, accelerates learning, and results in better
product–market fit. Even without software support, the ten-step process produces a clear trail of
hypotheses, assumptions, and validation results — a foundation investors and partners can trust.
What are the benefits of the Cognel MDMV tool?
The Cognel MDMV tool automates much of the manual work and actively supports you in discovering, testing,
and documenting your market hypotheses. It helps you:
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Suggest applications for your technology based on the LLM's understanding of the
world.
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Generate and rank value cases that link your innovation to measurable business
outcomes.
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Suggest industry-relevant KPIs to quantify improvements and express value in your
customer’s language.
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Identify promising industry segments where the value case is strongest and most
easily proven.
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Suggest business cases describing the rationale for a customer to invest in a pilot
project.
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Profile decision-makers and personas within target organizations who would directly
benefit from your solution.
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Draft tailored outreach messages (emails or LinkedIn) that combine value, proof, and
a clear call to action.
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Reduce a multi-week process to a few hours by guiding you through each step
interactively — without losing depth or traceability.
In short, the Cognel MDMV tool turns an expert-driven methodology into a guided, data-supported experience
that reveals what to build and who will buy it — faster and with greater confidence.
Is the tool different from an LLM? How and why?
The Cognel UX looks a bit like a conversational interface, but the functionality is totally different. In
Cognel, the MDMV Guide asks you questions and, based on the answers, provides supportive information that
helps you develop your own solution. However, it does not provide "the" solution. The Cognel Guides lead
users through questions developed by experts, but you are the owner of the challenge and the process and
you remain so.
In which languages is Cognel MDMV available?
English and German.
What is a "value case" in MDMV?
It is the main reason why a customer buys your innovation, stated with the KPIs it improves. We use the
term "value case" since value could also be non-financial: The improvement of some impact KPI, for
example.
How long does a full MDMV cycle take?
If you do it manually, assume a few weeks. If you're an LLM pro, you can shorten this significantly, but
assume a few days at least. With the Cognel tool, it usually takes about 2 hours.
Can we run MDMV without the tool?
Yes. The manual process works, but it is much slower and requires more desk work. And since it's much
slower, you will usually not evaluate all the options and hypotheses that Cognel MDMV generates, so you
might miss relevant customer segments.
How much does it cost?
The MDMV process itself is open and documented — anyone can apply it. The Cognel MDMV tool builds on that
foundation with guided automation, data support, and expert logic. Individual access is priced to stay
affordable for startups, while organizations such as accelerators, universities, or innovation agencies
can get team or white-label licenses. If you’d like to explore access or pilot options, just
get in touch — we’ll match the setup to your use case.
How does MDMV differ from other approaches, like JTBD, Value Proposition Canvas, Design Thinking etc.?
MDMV was developed because the established and well-known methods are customer-centric, i.e., they start
with a known customer and then help the user develop the optimal solution for this customer. However, this
is not the reality of many tech startups and inventors: They have developed a method or technology and
need to find the best possible customers for this technology. And since they often do not understand the
industry and the language of all the possible customers, finding the optimal target customer is very
difficult.
The MDMV approach makes this guesswork explicit and gives you a method to
systematically develop options and check their value before even approaching the customer.
The
Cognel MDMV tool pushes this even further by systematically supporting you with hypotheses (benefits,
KPIs, value cases, target customers), estimates (KPIs, business cases, competitors), and analyses (market
sizes).