Colleagues working over a printed sheet in a converted-warehouse workshop

Sharp Insights Commercialisation Framework

Take your technology to market.

A practical, evidence-led framework for taking an innovation from opportunity to customers, funding and sustainable growth.

Taking something new to market is rarely a straight line. You need to decide which market to pursue, understand who really needs what you’ve built, prove they’ll commit, demonstrate that it works in the real world, find a route to customers and build something commercially sustainable.

And you often need to make those decisions before you have all the evidence you’d like.

The Sharp Insights Commercialisation Framework helps founders and innovation-led businesses work out what they need to know next, what evidence they need to generate, and what they can confidently commit to.

Hands sketching a block diagram in a notebook beside a prototype instrument and index cards

The framework

Where is the strongest commercial opportunity?

Before committing more time, money or development effort, understand where you are and what decisions need to be made.

We map the technology or proposition, potential applications, markets, customers, business model, funding position and constraints.

The aim is to identify where the opportunity may lie and what you need to learn next.

Typical questions
  • Which market or application should we pursue first?
  • Where is the greatest potential value?
  • What are we assuming rather than knowing?
  • What could stop this becoming commercially viable?

Outcome: A clear commercial direction and the biggest uncertainties to resolve next.

Is there a valuable problem and strong market here?

Get beyond desk research and assumptions to understand the people and organisations who might adopt what you’re building.

Explore customer problems, existing alternatives, buying behaviour, who else has a say, market dynamics and the conditions under which someone would change.

For complex technologies, this often means understanding an entire ecosystem, not simply identifying an end user.

Typical questions
  • Who experiences the problem most strongly?
  • How are they solving it today?
  • Who buys, uses, influences and blocks adoption?
  • What would make changing worthwhile?
  • Which segment gives us the strongest beachhead?

Outcome: A clearer customer, problem, market and value proposition.

Will the right people buy this?

Interest isn’t the same as demand.

Validation moves beyond “that sounds interesting” towards evidence that customers will invest something meaningful: time, data, access, reputation, money or organisational effort.

Test the assumptions that matter most: demand, willingness to pay, proposition, adoption and route to market.

Typical questions
  • Will customers pay? If so, how much?
  • Which proposition creates the strongest response?
  • What would they need before adopting?
  • Can we generate meaningful customer commitment?
  • Which assumptions could still break the commercial case?

Outcome: Evidence strong enough to decide whether to proceed, adapt or stop.

Can we deliver this commercially, technically and operationally?

A promising proposition now has to survive in reality rather than in theory.

This might mean a prototype, feasibility study, beta, pilot, technical demonstration or early implementation.

The objective isn’t simply to prove that the technology works. It’s to understand whether the whole proposition works: technically, commercially and operationally.

Typical questions
  • Does it deliver the outcome customers value?
  • Can it work in the customer’s environment?
  • What does implementation require?
  • Are the economics viable?
  • What evidence will customers, partners, investors or funders need next?

Outcome: Real-world evidence that the proposition can deliver value.

How do we win the market?

Commercial evidence becomes a route to market.

Sharpen positioning and proposition, establish pricing, develop channels and partnerships, create the sales process and turn early relationships into customers.

The goal is not a perfect GTM strategy on paper. It is learning how this gets bought, and how it moves from an innovation to a technology to a product.

Typical questions
  • How should we position this?
  • Who should we sell to first?
  • What should we charge?
  • Which route to market works?
  • What turns a pilot into a customer?
  • Where should we invest our limited commercial resources?

Outcome: A credible and increasingly repeatable route to customers and revenue.

How do we make this commercially sustainable?

Once something works, the challenge changes.

Growth requires stronger commercial systems, clearer processes, capability, partnerships and decisions about where to concentrate resources.

What worked for the first five customers may not work for the next fifty.

Typical questions
  • What is actually driving growth?
  • What needs to become repeatable?
  • Where are we creating unnecessary friction?
  • What capability does the business need next?
  • Which markets, products or channels should we expand into?

Outcome: A business that can keep turning what it builds into customers and revenue.

Two colleagues reviewing printed pages at a tall table in a timber-panelled hallway

Technical progress isn’t the same as commercial progress

You can build a technically excellent product and still not know:

  • Who needs it most?
  • Which market should we enter first?
  • Will customers actually pay for it?
  • What should we build next?
  • Is there enough evidence to raise or apply for funding?
  • How will we get this into the hands of customers?

It matters most when the technology is complex.

Deep tech, life sciences, climate tech and Applied AI don’t always follow a neat SaaS playbook. Commercial evidence might be a paid pilot, access to a production environment, a letter of intent, partner commitment, technical validation, procurement progression or repeat customer behaviour.

The evidence changes, but the underlying commercial questions don’t.

Depending on the innovation, that evidence might relate to customers, economics, regulation, manufacturing, supply chains, environmental impact, implementation or market demand. The framework brings together more than a decade of work across product development, behavioural science, customer research, commercial strategy, innovation and grant funding.

We’ve supported technical founders and innovation-led organisations from early customer discovery through product development, funding, market entry and growth. Our work has helped clients secure £10m+ in non-dilutive funding, and the framework continues to evolve through the commercial problems we work on with founders and businesses.

Evidence before you commit

At every stage, the process is the same.

DECIDE
TEST
LEARN
COMMIT

Getting to market is a series of decisions made under uncertainty.

Before committing significant development, money or commercial effort, we ask:

  • What decision are we making?
  • What would need to be true for this to work?
  • What don’t we know yet?
  • What is the quickest credible way to find out?
  • What does the evidence tell us?
  • Are we ready to commit, or do we need to change direction?

This prevents technical development becoming the default response to commercial uncertainty. A higher technology readiness level or manufacturing readiness level doesn’t necessarily mean a stronger commercial proposition: technical maturity and commercial maturity are different things.

How we use the framework

Training and programmes

Learn the framework and apply it to your own commercial decisions.

Decision Sprints

Work with us on a specific commercial challenge: market selection, customer evidence, demand, GTM or funding.

Fractional CCO

Work through multiple stages with ongoing commercial leadership and delivery.

Tools

Use our books, courses, canvases and AI assistants to apply parts of the methodology yourself.

Built from practice, not theory

Technology Readiness Levels (TRLs) tell us how technically mature an innovation is. Commercial Readiness Levels (CRLs) can help assess how prepared it is for the market. Our framework complements these models by focusing on the decisions between those milestones: what needs to be learned, what evidence will resolve the uncertainty, and what the business should commit to next.

Talk through your next commercial decision