When conditions are difficult to predict, Bora Secmen’s perspective on adaptability offers a useful framework for understanding why rigid plans can become liabilities. Businesses and professionals cannot eliminate uncertainty, but they can develop the ability to adjust their assumptions, priorities, and responses as new information emerges.
Adaptability is sometimes confused with constant change. In practice, effective adaptability is more disciplined. It involves knowing what should remain stable, identifying what needs to change, and making adjustments without losing sight of long-term objectives.
Uncertainty Changes the Value of a Plan
Planning remains important even when the future is uncertain. The problem arises when a plan is treated as a guarantee rather than a framework.
A plan typically depends on assumptions about:
- Market conditions
- Customer behavior
- Available resources
- Competitor activity
- Technology
- Economic conditions
Those assumptions can change.
A resilient organization therefore does not abandon planning when uncertainty increases. Instead, it treats planning as an ongoing process that can be updated as circumstances develop.
The objective is not to predict every possible outcome. It is to remain prepared for more than one.
Adaptability Begins With Flexible Assumptions
Many organizational problems begin when assumptions become invisible.
A team may continue operating according to an assumption about customer preferences simply because that assumption was once accurate. A business may maintain a particular process because it worked effectively in the past. A strategy may remain unchanged because changing it feels riskier than maintaining it.
Adaptability requires making assumptions visible.
Useful questions include:
- What are we assuming about the current environment?
- What evidence supports those assumptions?
- Which assumptions are most likely to change?
- What would happen if one of them proved incorrect?
This process allows organizations to identify potential vulnerabilities before they become operational problems.
The Difference Between Flexibility and Instability
Being adaptable does not mean changing direction whenever new information appears.
Constant reaction can be just as damaging as excessive rigidity.
An organization that changes its priorities every time a competitor makes a move can lose strategic focus. Similarly, repeatedly altering processes without evaluating their effectiveness can create confusion for employees and customers.
Effective adaptability requires a distinction between signal and noise.
Not every change in the environment requires a response. The challenge is determining which developments represent temporary fluctuations and which indicate a meaningful shift.
Decision-Making Under Incomplete Information
Uncertainty often means decisions must be made before all relevant information becomes available.
Waiting for complete information may seem cautious, but it can also create its own risks. By the time certainty arrives, opportunities may have disappeared or problems may have become more difficult to address.
Effective decision-making under uncertainty therefore involves evaluating:
- What is already known
- What remains uncertain
- Which assumptions are being made
- What the consequences of being wrong could be
- How easily the decision can be reversed
- What new information would justify changing course
This framework helps decision-makers avoid both reckless action and unnecessary delay.
Build Options Instead of Betting Everything on One Outcome
One of the strongest ways to prepare for uncertainty is to preserve options.
An organization that depends entirely on one supplier, one market, one technology, or one customer acquisition channel may become vulnerable if circumstances change.
Diversification can create alternatives.
Depending on the situation, organizations may consider:
- Multiple suppliers
- Several distribution channels
- Diverse customer segments
- Flexible technology infrastructure
- Cross-trained employees
- Alternative financing options
The goal is not diversification for its own sake. It is to avoid creating unnecessary dependence on a single point of failure.
Small Experiments Can Reduce Large Risks
Adaptability becomes easier when organizations can test ideas before committing significant resources.
Small-scale experiments can provide information about whether a strategy is likely to work.
For example, an organization might test:
- A new product feature
- A different marketing approach
- A revised workflow
- An emerging technology
- A new customer segment
Testing creates an opportunity to learn while limiting exposure.
This approach is particularly useful when the consequences of a major decision are difficult to predict. Rather than attempting to forecast the future perfectly, organizations can gather evidence through controlled action.
Learning Speed Can Matter More Than Prediction Accuracy
Organizations often focus heavily on predicting what will happen next.
Prediction has value, but adaptability introduces another question:
How quickly can an organization learn when its prediction is wrong?
An organization with a perfect forecast is unlikely to exist. Markets change, competitors behave unexpectedly, and external events can disrupt even carefully developed plans.
A system that detects mistakes quickly and responds effectively may therefore outperform one that makes accurate predictions occasionally but reacts slowly when circumstances change.
Learning speed becomes a strategic capability.
Communication Is Essential During Change
Adaptability also depends on communication.
When priorities change without clear explanation, employees may interpret adjustments as inconsistency or poor planning. Customers may experience confusion if processes change without adequate communication.
Effective communication can help explain:
- What has changed
- Why it changed
- What remains unchanged
- What actions are expected
- How success will be evaluated
This creates greater stability even when external conditions are unstable.
People do not necessarily need certainty to function effectively. They often need clarity about what is known, what is changing, and what comes next.
Resilience and Adaptability Work Together
Adaptability and resilience are closely related but not identical.
Resilience concerns the ability to absorb disruption and continue functioning. Adaptability concerns the ability to modify behavior or strategy when circumstances change.
Together, they create a stronger organizational capability.
An organization may survive a disruption through resilience but remain vulnerable if it fails to learn from the experience. Conversely, an organization may be highly adaptable but struggle if it lacks the operational stability necessary to implement change.
The two capabilities reinforce each other.
Long-Term Objectives Provide Stability
Adaptability works best when organizations maintain a stable sense of purpose.
Strategies can change. Processes can change. Technologies can change. Even business models can evolve.
Long-term objectives can provide continuity through those changes.
For example, an organization may remain committed to serving a particular customer need while changing the way that need is addressed. The underlying objective remains stable while the method evolves.
This distinction helps prevent adaptability from becoming directionless experimentation.
Why Strategic Patience Matters
Uncertainty can create pressure for immediate action. Sometimes action is necessary. In other circumstances, waiting can produce better information.
Strategic patience is not passivity. It involves deliberately determining whether additional information is likely to improve a decision.
A patient decision-maker may:
- Monitor developing conditions
- Identify specific decision triggers
- Gather additional evidence
- Prepare alternative responses
- Establish clear timelines for reassessment
This approach creates room to respond without confusing urgency with effectiveness.
Preparing for Multiple Futures
The future cannot be known with certainty, but organizations can prepare for different possibilities.
Scenario planning is one approach. Rather than creating a single forecast, decision-makers consider several plausible conditions and examine how existing strategies would perform under each.
For example:
- If conditions improve: What should accelerate?
- If conditions deteriorate: What should be protected?
- If the market changes unexpectedly: Which assumptions need to be reconsidered?
These questions create strategic flexibility without requiring precise predictions.
Adaptability as a Long-Term Capability
Uncertainty is not a temporary condition that organizations can simply wait to disappear. Markets evolve, technologies change, regulations develop, and customer expectations shift continuously.
The most sustainable response is therefore not to seek perfect certainty.
It is to build the capacity to operate intelligently without it.
Adaptability allows organizations to revise assumptions without abandoning purpose, respond to evidence without overreacting to noise, and make decisions without requiring complete information.
The future will inevitably contain surprises. Strong organizations are not necessarily those that predict every surprise. They are those capable of recognizing change, learning quickly, preserving meaningful options, and adjusting course without losing strategic direction.