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WHAT PROBLEM-SOLVING IS
Problem-solving is the systematic deployment of distinctive tactics and strategies to consciously advance the resolution of critical challenges and develop enterprise potential across new lines, ideas, and hidden opportunities. It’s not reactive troubleshooting, instead it’s disciplined value creation under pressure. The practice uses structured methodologies to decompose complex problems, generate breakthrough solutions, and execute decisions that transform constraints into competitive advantages.
Unlike ad-hoc firefighting, which addresses symptoms as they surface, problem-solving operates with methodological rigor. It asks not “How do we fix this?” but “What is the actual problem, what solutions are genuinely available, and how do we execute optimal resolution?”
Root cause analysis identifies underlying drivers rather than surface manifestations. Structured problem decomposition breaks complex challenges into manageable components with clear ownership. Creative synthesis generates novel solution pathways by recombining existing elements in unexpected configurations. Decision frameworks under constraints optimize for multiple competing objectives simultaneously.
Problem-solving practices include the organizational capabilities that make resolution actionable: cross-functional problem teams with diverse expertise, rapid prototyping and learning cycles, escalation protocols that match problem complexity to decision authority, and execution discipline that translates insight into outcome.
Problem-solving is not endless analysis that postpones decision. It’s not brainstorming sessions disconnected from implementation reality. It’s not consultant-generated slide decks that gather dust after presentation. And it’s definitively not a luxury reserved for crisis: instead, it’s a discipline that prevents crisis by identifying and addressing emerging problems before they metastasize.
It is not intuition divorced from evidence, nor is it rigid methodology that ignores context. Problem-solving balances analytical rigor with adaptive judgment, recognizing that real problems rarely conform to textbook frameworks.
Traditional management addresses known problems with established solutions. Problem-solving tackles novel challenges where solution pathways are unclear, stakes are high, and standard approaches fail. Senior consultants who master both deliver comprehensive value: execute best practices where applicable, solve genuinely hard problems where practices don’t exist. The difference wasn’t domain knowledge. The difference was methodological rigor applied to non-routine challenges.
Problem-solving isn’t art. It’s craft. Executed rigorously, it’s as measurable as operational efficiency, as systematic as financial planning, and as improvable through practice. The output isn’t clever ideas but implemented solutions that deliver value your competition cannot match.
The return on investment manifests in reduced problem recurrence, faster crisis response, captured opportunities others miss, and organizational capability that appreciates rather than depreciates. For senior consultants, problem-solving capability isn’t optional, it’s definitional. Markets reward organizations that solve problems faster and better than competitors. In an era when yesterday’s solutions become today’s problems, the ability to approach novel challenges with disciplined methodology is the ultimate competitive advantage.
The question isn’t whether your organization faces hard problems—it demonstrably does. The question is whether your approach to solving them is systematic and repeatable, or ad-hoc and hope-based.
Complexity overwhelms intuition | The average enterprise problem now involves more variables, stakeholders, and interdependencies than any individual can hold in working memory. Supply chain disruptions cascade across continents. Regulatory changes ripple through business models. Technology shifts obsolete core competencies overnight. Problems that once yielded to experience and judgment now require systematic decomposition and structured resolution.
Speed of resolution as competitive advantage | In volatile markets, the organization that solves problems fastest captures disproportionate value. When COVID-19 forced remote work overnight, companies that could rapidly solve collaboration, security, and productivity problems maintained operations; those that couldn’t lost market position they never recovered.
Stakeholder tolerance for failure approaches zero | Customers switch in seconds. Investors demand quarterly performance. Regulators levy penalties in millions. Employees share workplace failures on social media. The margin for unresolved problems has collapsed. Organizations either solve problems systematically and quickly, or face consequences that compound with each delay.
Hidden opportunities masquerade as problems | The most valuable problem-solving doesn’t just resolve challenges but uncovers latent opportunities. Netflix’s DVD shipping problem led to streaming dominance. Apple’s fragmented product line problem led to the iPod, then iPhone. Senior consultants who frame problems purely as threats leave value on the table.
Images make Imagination and Imagination is THE transformative tool for each and every human being. Imagination is a key creative activity, and it transcends religious, cultural or philosophical belongings. We become actors of change when we begin imagining something better, or simply different.
Indeed, we turn into active agents precisely because we wish to transform the world around us. Images is the tool through which we visualise, narrate and review the transformations we crave for. It is not coincidental that ‘imagination’ develops from the same root of ‘image.’
Without the imagining of something, we have no direction to thrive to, nor a desire to accomplish. Imagining is the toolkit through which we visualise change, to craft it.
One of the most effective methods to visualise ideas, cultures and businesses is the LSP approach.
LSP stands for LEGO© SERIOUS PLAY©, and it is a methodology with over 25 years of development, first as a Research Unit at LEGO, and then, globally, as a creative visualisation toolkit to facilitate and manage change, and enhance problem-solving activities and processes.
LSP is a problem-solving toolkit to transform implicit ideas into explicit knowledge, and hands-on make 1+1=3. By visualising ideas as 3D models made of metaphorical bricks, we give concrete form to our knowledge. In so doing, we formulate new connections to more thoroughly see what we might not have been able to see earlier.
Participants live in the identified situation, and engage – in an extremely physical manner – with the simulated experience. In addition, the simulation exercise is facilitated into a group context, and LSP works marvels to negotiate issues towards a shared alignment, as participants first build – together – the challenge, and, then, build – together – the agreed solution to the identified challenge. As a problem-solving issue, LSP requires issues and solutions to be explicitly visualised and jointly negotiated.
The Context
When Lou Gerstner became IBM CEO in April 1993, the company was hemorrhaging $8 billion annually, by far the largest corporate loss in American history. IBM’s market value had collapsed from $105 billion to $29 billion. The board had already decided to break the company into independent divisions. Conventional wisdom held that IBM’s integrated model was obsolete, that customers wanted “best-of-breed” specialists, and that the mainframe business was dying.
The company’s problems were systemic: insular culture dismissive of customers, product development cycles measured in years, sales compensation rewarding hardware volume over customer value, and a cost structure bloated by decades of near-monopoly dominance.
The Problem-Solving Intervention
Gerstner, notably, didn’t arrive with a preconceived strategy. His first 100 days focused on problem definition through intensive customer engagement. He personally met with the top 200 IBM customers, asking not about IBM, but about their business problems. This revealed the core issue: the problem wasn’t IBM’s integrated model but that IBM had stopped solving customer problems and started selling products.
Gerstner’s team employed multi-criteria analysis to evaluate strategic options:
They evaluated against explicit criteria: competitive differentiation, leverageable assets, market attractiveness, organizational feasibility, and time to profitability.
The analysis revealed a counterintuitive insight: IBM’s integration was potentially its greatest asset if reoriented from product efficiency to customer problem-solving. No competitor could match IBM’s breadth across hardware, software, services, and research. The problem wasn’t the model—it was its purpose.
Gerstner implemented systematic problem-solving at scale:
The Strategic Result
By 1994, IBM returned to profitability. By 2002, when Gerstner retired, revenue had grown from $64 billion to $86 billion, profits reached $3.6 billion, and market capitalization hit $155 billion. IBM had successfully pivoted from hardware manufacturer to solutions integrator, with services growing from 27% to 42% of revenue.
The transformation demonstrated that the “obvious” problem (outdated integrated model) masked the actual problem (lack of customer focus). Solving the wrong problem (breaking up the company) would have destroyed unique value IBM alone could deliver.
Explicit Lessons Learned
The IBM case obliterates three dangerous myths:
Myth 1: “We need complete information to solve problems.” IBM’s transformation began with Gerstner admitting he didn’t understand the computer industry. Action under uncertainty with structured problem-solving beats analysis paralysis awaiting certainty.
Myth 2: “Problem-solving is reactive.” Problem-solving capability prevents crises rather than merely responding to them. Organizations with mature problem-solving cultures encounter fewer existential threats because they address problems at emergence, not maturity.
Myth 3: “Intuition and experience suffice for novel problems.” Gerstner’s lack of computer industry experience proved advantageous because he had no anchoring biases about “how things work in this industry.” Structured problem-solving enables solutions intuition and experience cannot generate.
IN SHORT:
The evidence is unambiguous. Organizations that solve problems systematically and quickly don’t just survive crises—they transform problems into competitive advantages while competitors remain trapped in reactive firefighting.
Consequential training with consulting • Integration of theory with practice • Visual literacy mastery for strategic impact • Hands-on activities on scenarios & simulations • Soft skills development to learn hard skills • A comprehensive and in-depth experiencing of today’s evolving cultures, from creativity to the visual and AI-enhanced storytelling
Academic Foundation • PhD Strategic Storytelling, University of Exeter • PhD Visual Anthropology, University of Venice • MA Anthropology of Media, SOAS London • Full Professor, H-FARM College • Senior Lecturer, University of Westminster
Market Validation • €1.8M in competitive research grants • 100+ organizational transformations • 30+ years of consistent results
Innovation Leadership • Creator: MIA – The Meta-Image App • Founder: The Visual Storytelling Academy • Pioneer: Visual Literacy & AI-Enhanced Creative Training • AI for Creativity methodology: Combining human storytelling with artificial intelligence • Thought Leader: Future of Strategic Communication
The decision isn’t whether to invest in your organizational culture development: it’s whether to lead or follow. Your competitors are already moving. The question is: will you get there first?
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