Lateral Thinking
Lateral Thinking: When vertical (logical, sequential) thinking produces only incremental solutions, think sideways. Move through problem space indirectly: use random stimuli, provocations, reversals, and analogies to disrupt habitual patterns and reach solutions that sequential logic can't find. The breakthrough idea rarely comes from working harder in the same direction β it comes from approaching from an unexpected angle.
What Is Lateral Thinking?β
Edward de Bono coined "lateral thinking" in 1967 to describe a mode of reasoning that deliberately moves around rather than through a problem. Vertical thinking (de Bono's term for conventional logical reasoning) digs deeper in the same hole β it refines existing approaches and extends known frameworks. Lateral thinking digs in different places β it seeks discontinuous approaches, novel angles, and unexpected combinations.
De Bono's insight was that conventional problem-solving is limited by dominant patterns β the brain's tendency to follow the established routes of thinking it already has. These patterns are efficient for routine problems; they are obstacles for novel ones. Lateral thinking provides specific techniques for disrupting these patterns to access solution spaces that routine reasoning can't reach.
Key lateral thinking techniques:
- Random Entry: Take a random object and force connections between it and the problem. The arbitrary connection often reveals non-obvious angles.
- Provocation (Po): State a deliberate absurdity ("Po: the car has square wheels") and use it as a stepping stone. "Cars with square wheels would vibrate β which leads to thinking about vibration sensing for road quality measurement."
- Challenge: Ask "Why must it be this way?" about each element of the current approach. Not to criticise, but to generate alternatives.
- Concept Fan: Widen the search by moving from specific approach to general concept, then generating multiple alternative approaches from the concept.
Lateral thinking doesn't replace logical analysis β it generates options that analysis then evaluates. The creative leap and the logical validation are separate and equally important steps.
How It Worksβ
RANDOM ENTRY METHOD:
Step 1: Define the problem clearly
Step 2: Select a random object (open a dictionary, look at something nearby)
Step 3: List 5β10 attributes of that object
Step 4: Force connections between each attribute and the problem
Step 5: Develop any connections that seem remotely promising
Step 6: Evaluate with logic which developed ideas are worth pursuing
PROVOCATION (Po) METHOD:
Step 1: State the problem
Step 2: Create a provocative statement: "Po: [deliberate absurdity]"
β Reverse something (Po: customers pay us to not buy our product)
β Exaggerate (Po: every customer has 1000 salespeople)
β Wishful (Po: the product fixes itself)
Step 3: Use the provocation as a stepping stone β what does it suggest?
Step 4: Extract practical ideas from the provocative direction
CHALLENGE METHOD:
Step 1: List each component of the current approach
Step 2: For each: "Why does it have to be this way?"
Step 3: Generate alternatives to each component
Step 4: Combine promising alternative components
Three Real-World Examplesβ
Random Entry: Insurance Pricing Innovationβ
An insurance product team was stuck on pricing strategy. Random entry: they looked at "traffic light" as their random stimulus. Attributes: red/yellow/green signals; gives permission; drivers know the rules; adjusts to conditions in real time; nobody questions it.
Connection: "adjusts to conditions in real time" β dynamic insurance pricing that adjusts based on real-time driver behaviour (telematics). The random entry pointed toward usage-based insurance models years before they became common. The connection was non-obvious and wouldn't have emerged from direct analysis of competitor pricing models.
Provocation: Reverse the Airport Security Lineβ
Airport security is notoriously slow. Conventional thinking: more staff, better equipment, faster scanners. Provocation: "Po: the plane waits for security, not passengers."
Stepping stone: what if the security relationship is reversed β what would it take for the airport to bear the inconvenience rather than passengers? This leads to: pre-clearance (TSA PreCheck, Global Entry) where trusted travellers do the work upfront once and then have fast-tracked access for years. The provocation led to a major innovation in security design.
Challenge: Subscription Software Licensingβ
Traditional software licensing: you buy a perpetual license, pay maintenance fees, deploy on your servers. Challenge method: "Why must software be licensed per installation?" β "Because we need to control copying." β What if copying were unlimited but access were controlled instead? β SaaS licensing by user/month.
"Why must the customer maintain the infrastructure?" β They don't have to if we maintain it. β Cloud delivery.
Each "Why must it be this way?" produced a step toward the SaaS model that now dominates enterprise software.
When to Use Itβ
β Lateral thinking is valuable for:
- Problems where direct/vertical thinking has produced only incremental options
- Innovation challenges requiring genuinely new approaches
- Brainstorming sessions needing to break patterns
- Personal creative blocks
β Less appropriate for:
- Problems with well-defined, proven solutions
- Situations requiring rigorous, step-by-step analysis
- When the creative generation phase is already complete and evaluation is needed
| Pairs well with | Why |
|---|---|
| Reframing | Both escape conventional thinking frames; lateral thinking provides specific disruption techniques |
| Constraint Relaxation | Lateral thinking generates options; constraint relaxation identifies which assumed boundaries to remove |
| Analogical Reasoning | Both use non-obvious connections to generate novel approaches |
| Thought Experiment | Lateral provocations are mini-thought-experiments |
Common Misuses and Limitationsβ
Treating lateral thinking as the whole process. Lateral thinking generates unconventional options; it doesn't evaluate them. Many lateral ideas are bad. The logical evaluation phase β assessing whether the generated idea actually solves the problem better than alternatives β is equally important. Lateral thinking without evaluation is brainstorming without synthesis.
Using it in the wrong phase. Lateral thinking is for divergence β generating options. It should come before convergence β selecting and implementing the best option. Using lateral thinking techniques when you need to make a decision and execute confuses the phases.
Forced connections that go nowhere. Some random entries produce genuinely fertile connections; others don't. The discipline is to generate connections quickly (don't over-invest in any one random stimulus), evaluate rapidly, and move on if a stimulus isn't bearing fruit.
Related Modelsβ
| Model | Relationship |
|---|---|
| Reframing | Both escape conventional thinking; lateral thinking provides specific disruption techniques |
| Constraint Relaxation | Constraint relaxation removes assumed boundaries; lateral thinking attacks from unexpected angles |
| Analogical Reasoning | Analogies are a lateral thinking tool for finding cross-domain solutions |
| Thought Experiment | Lateral provocations use thought-experiment logic to explore absurd premises |
Frequently Asked Questionsβ
What's the difference between lateral and creative thinking?
"Creative thinking" is a broad term for any non-routine thinking. Lateral thinking is specifically de Bono's structured methodology for generating non-sequential solutions. The difference: lateral thinking provides concrete techniques (random entry, provocation, challenge) for deliberately disrupting habitual thinking patterns. "Be more creative" is advice; lateral thinking provides specific mechanisms. All lateral thinking is creative; not all creative thinking uses lateral thinking techniques.
Is lateral thinking evidence-based or just a creativity fad?
De Bono's framework is influential but not heavily empirically validated in the way scientific theories are. However, the underlying cognitive science is solid: pattern recognition and pattern disruption are both well-established phenomena in cognitive psychology. The specific techniques (random entry, provocation) work as pattern disruptors because they force non-habitual associations. Whether they work better than other brainstorming techniques depends on the problem type and team. For novel problems where incremental improvements have been exhausted, there's strong practical evidence that discontinuous approach techniques like lateral thinking produce more valuable options.
How do you know when to switch from vertical to lateral thinking?
Signal 1: you've been working on the same problem for a long time and solutions are only incremental improvements on what already exists. Signal 2: domain experts are applying more expertise without progress. Signal 3: the problem has been "solved" many times but the same fundamental issue keeps resurfacing. Signal 4: a competitor has solved a similar problem with an approach that wasn't visible from within your domain. Any of these suggests vertical thinking has reached its productive limit β time to go lateral.
Further Readingβ
- de Bono, E. (1970). Lateral Thinking: Creativity Step by Step β the original text
- de Bono, E. (1985). Six Thinking Hats β a related structured creativity framework
- Johansson, F. (2004). The Medici Effect β how cross-domain thinking creates breakthrough innovation
Apply with AIβ
π Apply lateral thinking to your problem with MindMax β
This page is part of the MindMax Mental Models Knowledge Base.