Original Thinking: A Caribbean Business Innovation Playbook

Innovative Caribbean businesses have been associated with 26% to 35% higher productivity and 21% to 81% higher sales per worker than non-innovative firms, depending on the type of innovation. Those findings, reported by the Inter-American Development Bank, do not mean every new idea will pay off. They make a more useful point: firms that learn how to turn insight into action can create a meaningful performance advantage.


That capability matters in a region where leaders often work with tight budgets, small talent pools and fragmented systems. Under pressure, it is easy to frame every decision as a choice between two familiar options: improve the service or reduce cost, automate the process or hire more people, protect the local market or pursue regional growth.


Original thinking starts by challenging the frame itself. The better question is often: what outcome are we trying to create, what assumptions are limiting our choices, and what evidence would help us test a different approach?


What is original thinking in business?

Original thinking in business is the disciplined practice of reframing a problem, inviting insight from people closest to it, testing alternatives and measuring the result. It is not novelty for its own sake. Its purpose is to find a more effective route to customer value, efficiency, resilience or growth.


The distinction matters. Brainstorming can produce a long list of ideas, but ideas have little value until they are connected to an operational problem and a commercial measure. Original thinking becomes useful when it changes a decision, a process or a customer experience.


The Porsche UK turnaround: change the frame, not only the tactics

The Porsche UK story in the original article remains a powerful illustration, provided the lesson is separated from the mythology that often grows around business turnarounds.


In 1992, Kevin Gaskell became managing director of Porsche Cars Great Britain at 32. A British GQ profile describes a business under severe pressure and reports that Porsche moved from last place, 32 out of 32, to first in customer satisfaction. The turnaround involved difficult cost decisions, but it did not stop there. Staff were given direct experience of the product, dealers were brought closer to decision-making, prospective buyers were defined more clearly, and the media received direct attention from leadership.


The underlying move was simple: Porsche stopped treating the problem as only a sales decline. It reframed the challenge around the full Porsche experience.


The 968 Club Sport provides a second lesson. Porsche's own history records that the model went on sale in 1993 as a lighter, focused road car for track days, with a deliberately limited colour palette and functional design. Instead of competing through more features, the company created value through subtraction and a sharper proposition.


This case does not offer a formula that Caribbean firms can copy line by line. Porsche operated in a different industry, market and era. What travels well is the management logic: listen beyond the boardroom, protect what customers value, remove what does not serve the promise, and measure whether the change improves the business.


Why original thinking matters in the Caribbean

Caribbean firms do not lack ambition. They often face constraints that make disciplined innovation harder and more necessary.


An IDB analysis of 2020 survey data found that innovative firms across the Caribbean frequently identified small market size, employee qualifications and limited innovation skills in the labour force as major constraints. Potential innovators also reported serious limits in available financial resources. These conditions favour focused experiments over expensive transformation programmes built on untested assumptions.


For a distributor serving several islands, the problem may not be whether to replace an enterprise system or keep tolerating manual work. The immediate opportunity may be to connect order, inventory and receivables data in one decision view, then test whether that reduces stockouts or late collections.


For a professional services firm, the question may not be whether artificial intelligence will replace roles. It may be which repetitive, reviewable task can be assisted safely, how quality will be checked, and whether the change gives skilled staff more time for client work.


For a hospitality operator, the choice may not be personal service or automation. A better design could automate confirmations, routine requests and follow-up while giving employees better customer context for the moments that require judgement and care.


The territories, sectors and operating conditions differ, so the answer will differ too. The common principle is to define the outcome before selecting the technology.


Four management practices that turn ideas into results


1. Frame the business problem in measurable terms

Weak problem statements point directly to a tool: "we need AI" or "we need a new CRM." Strong problem statements describe a gap between the current and desired result.


Examples include reducing the time from approved quote to invoice, improving forecast accuracy, lowering the number of orders delayed by missing stock information, or giving managers a reliable view of customer activity across territories.


This keeps the team focused on value. It also makes it possible to compare options, including process changes that require little or no new technology.


2. Bring operational voices into the decision

People who handle customer questions, reconcile accounts, schedule field work or correct data errors see friction that senior reports often hide. Customers, suppliers and channel partners can reveal a different part of the same system.


Inviting these voices is not enough. Leaders must make it safe to identify problems, challenge assumptions and admit uncertainty. Research involving 356 employees in 90 teams found that inclusive leadership was positively related to innovative performance through psychological safety. The practical implication is straightforward: an ideas channel will fail if contributors expect dismissal, blame or silence.


Use a structured forum. Ask what repeatedly delays work, what information arrives too late, what customers must explain twice, and which workaround has quietly become essential. Assign an owner to evaluate each idea and publish the decision.


3. Test the smallest useful version

Original thinking does not require betting the company. A short pilot can test one workflow, one team, one customer segment or one territory.


Set a baseline first. Then choose one primary measure and a small number of guardrails. A sales automation pilot might track response time while monitoring conversion and customer complaints. A finance workflow might track processing time while monitoring exception rates and control failures.


Small tests are especially valuable where budgets and specialist skills are constrained. They expose integration, data quality, adoption and governance issues before those issues become expensive.


4. Scale evidence, not enthusiasm

Every pilot should end with a decision: stop, adjust, expand or standardise. That decision should use evidence from users, customers, operations, finance and risk.


A dashboard can make the result visible, but measurement should remain proportionate. The aim is not to create more reporting. It is to determine whether the idea produced a better outcome, for whom, at what cost and under what conditions.


Technology should expand the option set

Cloud platforms, workflow automation, CRM, business intelligence and artificial intelligence can help a company act on original thinking. They can connect information across functions, make delays visible, remove repetitive steps and support faster decisions.


They can also reinforce a weak process if adopted without a clear problem definition. Automating unnecessary approvals makes them move faster, but it does not make them useful. Building a dashboard on inconsistent data creates a more polished version of uncertainty. Adding AI without ownership and review can increase risk rather than productivity.


The right sequence is business outcome, process, data, people, controls and then technology. This reflects Sperto Consulting's published approach of understanding the business, recommending suitable tools, configuring the solution, onboarding users and providing ongoing support.


A practical 30-day starting point

Before approving another broad transformation programme, leadership teams can run a focused 30-day problem-framing sprint:


  1. Select one costly or customer-facing point of friction.
  2. Record the current baseline, including time, cost, error or customer impact.
  3. Interview the people who perform, receive and manage the work.
  4. Map the process and identify the assumptions behind it.
  5. Design one small test with a named owner, deadline and success measure.
  6. Review the evidence and decide whether to stop, adjust or expand.

The process is intentionally modest. Its value comes from creating a repeatable path from observation to evidence, not from producing a theatrical innovation event.


Original thinking is a management discipline

The most useful lesson from Porsche UK is not that one charismatic leader found a clever answer. It is that the business combined a clear commercial focus with wider participation, direct customer insight and decisive testing.


For Caribbean leaders, original thinking can be a practical response to constraint. Smaller markets can sharpen the need to test. Limited budgets can force clearer priorities. Close customer and partner relationships can reveal insights that larger competitors miss. None of those advantages appears automatically. Leaders must build a system that turns frontline knowledge into measured action.


Start with the problem, widen the conversation and test the smallest useful change. If the evidence is strong, scale it with the right process, data and technology behind it.


If your organisation needs a clearer view of where automation, cloud applications or AI can improve efficiency without adding avoidable complexity, contact Sperto Consulting to assess the opportunity and define a practical next step.