Business environments aren’t either certain or uncertain, but instead are impacted by wide range of variables, each with varying levels of uncertainty. While planning in high levels of uncertainty can be quite daunting, analysing the uncertainty at a more granular level can be a helpful place to start.
There are different types of uncertainty, each with its own unique characteristics. Ranging from acceptable variation in plans through to major unforeseen events, understanding the type of uncertainty you are facing is the first step in planning a way through it. These types of uncertainty can be broadly characterised as acceptable uncertainty, known uncertainty and unknown uncertainty.
The goal of traditional strategy development is to increase the certainty around a particular outcome using extensive analysis and sophisticated tools. It is usually linear in its outlook and seeks to minimize uncertainty rather than embrace it. In times of low uncertainty, the rigour of this approach can be very useful, but in times when that level of desired certainty can’t be obtained, it can grind decision making to a halt.
Armed with this understanding, firms can start to better grasp the uncertainty they are facing and begin to plot a course through it.
Business environments aren’t either certain or uncertain, but instead are impacted by wide range of variables, each with varying levels of uncertainty. While planning in high levels of uncertainty can be quite daunting, analysing the uncertainty at a more granular level can be a helpful place to start.
There are different types of uncertainty, each with its own unique characteristics. Ranging from acceptable variation in plans through to major unforeseen events, understanding the type of uncertainty you are facing is the first step in planning a way through it. These types of uncertainty can be broadly characterised as acceptable uncertainty, known uncertainty and unknown uncertainty.
The goal of traditional strategy development is to increase the certainty around a particular outcome using extensive analysis and sophisticated tools. It is usually linear in its outlook and seeks to minimize uncertainty rather than embrace it. In times of low uncertainty, the rigour of this approach can be very useful, but in times when that level of desired certainty can’t be obtained, it can grind decision making to a halt.
Armed with this understanding, firms can start to better grasp the uncertainty they are facing and begin to plot a course through it.
The normal variation in plans or events within an acceptable tolerance.
Example
A 5 % increase in aluminium prices impacting the manufacturing costs and ultimate profitability of an auto parts supplier.
Major events that are known but have a range of unknown outcomes.
Example
A trade deal is yet to be agreed between the EU and the UK. Possible impacts could range from WTO tariff levels through to tariff free trade on different categories of goods.
Events that are both not expected or improbable and have an unpredictable outcome.
Example
A global pandemic is declared that shuts down major parts of the economy and sees different regions address the crisis in different and unpredictable ways.
The normal variation in plans or events within an acceptable tolerance.
Example
A 5 % increase in aluminium prices impacting the manufacturing costs and ultimate profitability of an auto parts supplier.
Major events that are known but have a range of unknown outcomes.
Example
A trade deal is yet to be agreed between the EU and the UK. Possible impacts could range from WTO tariff levels through to tariff free trade on different categories of goods.
Events that are both not expected or improbable and have an unpredictable outcome.
Example
A global pandemic is declared that shuts down major parts of the economy and sees different regions address the crisis in different and unpredictable ways.
While traditional strategy development tools are focused on building certainty into plans and forecasts, uncertainty planning tools aim to uncover what might happen, how it will impact the business and what you can do to prepare for it.
Whether used formally or more intuitively, the following more common approaches can be powerful tools in helping to identify future risks, assess your options and develop your strategy. More on these tools and others that can be used to help navigate uncertainty are included here.
While traditional strategy development tools are focused on building certainty into plans and forecasts, uncertainty planning tools aim to uncover what might happen, how it will impact the business and what you can do to prepare for it.
Whether used formally or more intuitively, the following more common approaches can be powerful tools in helping to identify future risks, assess your options and develop your strategy. More on these tools and others that can be used to help navigate uncertainty are included here.
Scenario planning involves developing different plausible representations of an organisations future (scenarios) based on assumptions about the forces driving the market9. In the current environment this will likely include scenarios about the speed of the recovery, the potential for further lockdowns and extended home working and the impact of extended political uncertainty and trade disruptions.
Horizon scanning is a systematic method for spotting and analysing potential causes of uncertainty and ensuring adequate preparation in order to build resilience and exploit emerging opportunities. As with scenario planning it is NOT about predicting the future, but instead about preparing for a range of possible outcomes10. With our current focus on the Covid-19 crisis and its immediate impacts, it is even more important that a systematic approach11 is used to ensure the appropriate breadth of thinking.
Zero-based thinking (ZBT) is a decision-making process based on developing forward looking plans in isolation from legacy decisions or constraints. It is particularly useful in planning for a future that is expected to be considerably different than past periods. While the much echoed line of “If I had known this was coming I would have doubled down on digital” may not seem particularly helpful at this point, this thought process can be useful in establishing priorities and identifying “no regrets” actions.
Known uncertainty – A few discrete outcomes: Option value analysis, game theory, decision analysis
Known uncertainty – A range of possible outcomes: scenario planning, disruption and innovation forecasting, latent demand research
Unknown uncertainty - Pattern recognition, non-linear dynamic models, discovery driven planning
Scenario planning involves developing different plausible representations of an organisations future (scenarios) based on assumptions about the forces driving the market9. In the current environment this will likely include scenarios about the speed of the recovery, the potential for further lockdowns and extended home working and the impact of extended political uncertainty and trade disruptions.
Horizon scanning is a systematic method for spotting and analysing potential causes of uncertainty and ensuring adequate preparation in order to build resilience and exploit emerging opportunities. As with scenario planning it is NOT about predicting the future, but instead about preparing for a range of possible outcomes10. With our current focus on the Covid-19 crisis and its immediate impacts, it is even more important that a systematic approach11 is used to ensure the appropriate breadth of thinking.
Zero-based thinking (ZBT) is a decision-making process based on developing forward looking plans in isolation from legacy decisions or constraints. It is particularly useful in planning for a future that is expected to be considerably different than past periods. While the much echoed line of “If I had known this was coming I would have doubled down on digital” may not seem particularly helpful at this point, this thought process can be useful in establishing priorities and identifying “no regrets” actions.
Known uncertainty – A few discrete outcomes: Option value analysis, game theory, decision analysis
Known uncertainty – A range of possible outcomes: scenario planning, disruption and innovation forecasting, latent demand research
Unknown uncertainty - Pattern recognition, non-linear dynamic models, discovery driven planning
While agile or discovery driven approaches are clearly more aligned to greater levels of uncertainty (and the related commitment to particular course of action of or investment requirement), regardless of the approach taken, it is important for firms to identify the “No Regrets”
actions they can take. These are actions that will either have a positive payoff in themselves or are required regardless of the strategic options taken forward. By identifying these actions, firms can maintain forward momentum, while minimising the risk of wasted effort or investment.
While agile or discovery driven approaches are clearly more aligned to greater levels of uncertainty (and the related commitment to particular course of action of or investment requirement), regardless of the approach taken, it is important for firms to identify the “No Regrets” actions they can take. These are actions that will either have a positive payoff in themselves or are required regardless of the strategic options taken forward. By identifying these actions, firms can maintain forward momentum, while minimising the risk of wasted effort or investment.
The waterfall model is a breakdown of project activities into linear sequential phases ( e.g. analysis, design, development, testing, deployment and maintenance ).
Decision horizon
Decisions about the goal and how to reach the goal are determined at the outset.
Investment horizon
Programme lifecycle with review checkpoints made through out.
Agile methodology is a collection of development principles that value adaptability and small, incremental changes to improve quality and provide better responsiveness to changing business or customer needs.
Decision horizon
The goal and a high-level path are set at the outset, but detail about how to reach that goal is determined and tested through the journey.
Investment horizon
Broad estimates at the outset, with investment allocations aligned to the value delivered
A delivery approach that stems from discovery driven planning approaches13. The approach systematically converts assumptions into knowledge as the programme progresses When new data are uncovered, they are incorporated into the evolving plan.
Decision horizon
Beyond high level return / viability parameters, both the goal and path are discovered through the process. Each further development is assessed independently.
Investment horizon
Aligned to the incremental value of each incremental activity.
The waterfall model is a breakdown of project activities into linear sequential phases ( e.g. analysis, design, development, testing, deployment and maintenance ).
Decision horizon
Decisions about the goal and how to reach the goal are determined at the outset.
Investment horizon
Programme lifecycle with review checkpoints made through out.
Agile methodology is a collection of development principles that value adaptability and small, incremental changes to improve quality and provide better responsiveness to changing business or customer needs.
Decision horizon
The goal and a high-level path are set at the outset, but detail about how to reach that goal is determined and tested through the journey.
Investment horizon
Broad estimates at the outset, with investment allocations aligned to the value delivered
A delivery approach that stems from discovery driven planning approaches13. The approach systematically converts assumptions into knowledge as the programme progresses When new data are uncovered, they are incorporated into the evolving plan.
Decision horizon
Beyond high level return / viability parameters, both the goal and path are discovered through the process. Each further development is assessed independently.
Investment horizon
Aligned to the incremental value of each incremental activity.
In doing this, these firms demonstrated three characteristics critical to succeeding in periods of uncertainty:
1. The ability of leaders to ask the right questions about the fundamentals of their business, even when they did not have all the answers.
2. Real organisational agility and the ability to rapidly adapt the organisation as situations changed.
3. A realisation that financial resilience was more than cost cutting, but instead a focus on maintaining the firm as a going concern.
It was those firms that were able to quickly assess the fundamentals of their markets, fill gaps in their business models and maintain strategic direction that were able to weather the storm.
In doing this, these firms demonstrated three characteristics critical to succeeding in periods of uncertainty:
1. The ability of leaders to ask the right questions about the fundamentals of their business, even when they did not have all the answers.
2. Real organisational agility and the ability to rapidly adapt the organisation as situations changed.
3. A realisation that financial resilience was more than cost cutting, but instead a focus on maintaining the firm as a going concern.
It was those firms that were able to quickly assess the fundamentals of their markets, fill gaps in their business models and maintain strategic direction that were able to weather the storm.
What are the key drivers to my business? How am I positioned to compete and adapt to changing conditions?
• Who are my key customers / customer groups and how can I ensure that I can still serve them or deliver my product to them?
• Have their needs or requirements changed?
• Who are my critical suppliers?
• Are they still able to provide me with the services I need?
• Are my operations and manufacturing facilities still able to function?
• Has my competitive landscape changed?
• How are my competitors reacting?
• Have any substitutes emerged that fill the same need as my products or services?
• Which parts of my business can adapt quickly, and which parts will take more work?
What are the key drivers to my business? How am I positioned to compete and adapt to changing conditions?
• Who are my key customers / customer groups and how can I ensure that I can still serve them or deliver my product to them?
• Have their needs or requirements changed?
• Who are my critical suppliers?
• Are they still able to provide me with the services I need?
• Are my operations and manufacturing facilities still able to function?
• Has my competitive landscape changed?
• How are my competitors reacting?
• Have any substitutes emerged that fill the same need as my products or services?
• Which parts of my business can adapt quickly, and which parts will take more work?
What fundamental factors have not changed in my market?
• Do my customers still need my products and services?
• Are supplies still readily available?
• Can I still manufacture/ produce my product or service?
• Are there only a few possible outcomes I need to analyse, and can I use traditional decision analysis tools to review them?
• Are there a range of outcomes I need to prepare for, and can I use scenario planning to identify the critical points?
• Is the situation truly ambiguous?
• Are there any discovery6 activities I can initiate to reduce that uncertainty?
• Am I able to develop the relevant scenarios?
• Have they addressed the fundamental business issues?
• Are there common elements across each of my scenarios?
• Am I thinking about the possible horizon risks to my business?
• Have I thought through how probable or severe they might be?
• Do I have up to date information to monitor my environment and how it is changing?
• Are there actions I can take now to mitigate these potential risks?
• Are there any “no regret7” actions I can take?
• Are there any common elements across my scenarios I can start to move forward?
• Do I need to make any big bets8?
• Can I reduce scope through identifying any interim implementation scenarios?
What fundamental factors have not changed in my market?
• Do my customers still need my products and services?
• Are supplies still readily available?
• Can I still manufacture/ produce my product or service?
• Are there only a few possible outcomes I need to analyse, and can I use traditional decision analysis tools to review them?
• Are there a range of outcomes I need to prepare for, and can I use scenario planning to identify the critical points?
• Is the situation truly ambiguous?
• Are there any discovery6 activities I can initiate to reduce that uncertainty?
• Am I able to develop the relevant scenarios?
• Have they addressed the fundamental business issues?
• Are there common elements across each of my scenarios?
• Am I thinking about the possible horizon risks to my business?
• Have I thought through how probable or severe they might be?
• Do I have up to date information to monitor my environment and how it is changing?
• Are there actions I can take now to mitigate these potential risks?
• Are there any “no regret7” actions I can take?
• Are there any common elements across my scenarios I can start to move forward?
• Do I need to make any big bets8?
• Can I reduce scope through identifying any interim implementation scenarios?
1. Coping with an unpredictable world (https://qbeeurope.com/unpredictability/coping-with-an-unpredictable-world/)
2. HESMUR research – Strategic and business planning: Insights on process and practices in prolonged uncertainty
3. Strategy under uncertainty – HBR, Dec 1997, Reference HBR, Managing project uncertainty from variation to chaos, MTI Sloan Review 2002
4. HESMUR Strategy Navigator
5. HESMUR Research Strategic and business planning: Insights on process and practices in prolonged uncertainty
6. Activities aimed at discovering the path forward rather than executing along a defined path
7. “No regrets actions” – Those actions that will either have a positive payoff in themselves or are required regardless of the “options” or “big bets” taken forward.
8. “Big bets” – Fundamental strategic or implementation options that are difficult to test and refine through the change process [Note: in reality, few decisions truly need to be big bets].
9. Kotler and Keller, 2011
10. Horizon Scanning: A practitioners Guide, IRM 2018
11. (e.g. STEEPLE – societal, technological, economic, environmental, political, legal, ethical, PESTLE – political, economic, societal, technological and legal or other structured analysis methods)
12. Strategy under uncertainty, HBR, Dec 1997
13. Discovery Driven planning, HBR, July-August 1995
1. Coping with an unpredictable world (https://qbeeurope.com/unpredictability/coping-with-an-unpredictable-world/)
2. HESMUR research – Strategic and business planning: Insights on process and practices in prolonged uncertainty
3. Strategy under uncertainty – HBR, Dec 1997, Reference HBR, Managing project uncertainty from variation to chaos, MTI Sloan Review 2002
4. HESMUR Strategy Navigator
5. HESMUR Research Strategic and business planning: Insights on process and practices in prolonged uncertainty
6. Activities aimed at discovering the path forward rather than executing along a defined path
7. “No regrets actions” – Those actions that will either have a positive payoff in themselves or are required regardless of the “options” or “big bets” taken forward.
8. “Big bets” – Fundamental strategic or implementation options that are difficult to test and refine through the change process [Note: in reality, few decisions truly need to be big bets].
9. Kotler and Keller, 2011
10. Horizon Scanning: A practitioners Guide, IRM 2018
11. (e.g. STEEPLE – societal, technological, economic, environmental, political, legal, ethical, PESTLE – political, economic, societal, technological and legal or other structured analysis methods)
12. Strategy under uncertainty, HBR, Dec 1997
13. Discovery Driven planning, HBR, July-August 1995
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