17 Proven Ways to Forecast in Economic Uncertainty
- Jonno White
- 4 days ago
- 22 min read
Economic uncertainty is not a disruption to normal business. It is the new normal. In 2026, the global business environment is being shaped by persistent inflation pressure, tariff volatility, geopolitical instability, AI disruption, and interest rate complexity that have made traditional annual planning feel almost quaint.
According to PwC's 2026 Global CEO Survey drawing on responses from 4,454 chief executives across 95 countries, only 30 percent of CEOs said they were confident about their own company's revenue growth, the lowest level of confidence in five years. A 2025 Gartner CFO survey found that only 39 percent of CFO respondents viewed the external environment as favourable, yet 67 percent expected to deliver more than five percent organic revenue growth in the same year. That gap between what leaders feel and what they need to deliver is where most planning frameworks fall apart.
Here is the insight that most articles on this topic miss entirely. Forecasting under economic uncertainty is not about getting the number right. It is about building the decision-making muscles and organisational habits that allow you to respond faster than your competitors when reality inevitably diverges from any plan. The goal is not accuracy. The goal is speed of adaptation. Leaders who internalise this reframe stop trying to predict the future and start building organisations that are genuinely good at navigating whatever the future brings.
The challenge is real. A 2025 survey of finance leaders found that companies are "getting numb to all the uncertainty," as ITR Economics economist Lauren Saidel-Baker put it. Leaders know they cannot wait for perfect information, but they also know that overconfident forecasting in volatile conditions can lead to worse decisions than no forecast at all. The answer lies in a set of disciplined, practical approaches that work precisely because they assume imperfection rather than trying to eliminate it.
Jonno White is a leadership consultant and Certified Working Genius Facilitator who works with executive teams navigating exactly these pressures. His book Step Up or Step Out has been read by over 10,000 leaders globally, and his podcast The Leadership Conversations has reached listeners in 150+ countries. What follows draws on the frameworks and conversations that have proven most useful across those engagements.
If your organisation is ready to turn the ideas in this article into aligned action, email jonno@consultclarity.org.
Why Forecasting Matters More Than Ever in an Uncertain Economy
There is a tempting response to economic uncertainty that many organisations default to without realising it: stop planning formally and start reacting instinctively. Meetings get shorter. Annual budgets get defended past their useful life. Teams wait for direction from the top, and the top is waiting for the fog to lift. The result is decision paralysis dressed up as prudence.
The data tells a different story about what actually works. Research cited by ClearPath Business Advisors shows companies using scenario planning report up to 33 percent greater adaptability in volatile environments. McKinsey research has found that companies whose top executive team is aligned and working effectively together are almost twice as likely to achieve above-median financial performance. Yet according to analysis from ClearPath Business Advisors drawing on Harvard Business Review research, only 29 percent of companies actively use scenario planning despite its proven effectiveness.
The gap between knowing these tools exist and actually using them under pressure is a leadership problem, not a technical one. When the environment is volatile, the instinct is to wait. Leaders who overcome that instinct, who build organisations capable of planning precisely because the future is uncertain rather than in spite of it, are the ones whose organisations emerge from downturns in stronger competitive positions than when they entered them. Economic uncertainty does not create financial problems. It exposes the ones that were already there. Forecasting in uncertainty is the discipline that gives you early warning before exposure happens.
To discuss how Jonno White facilitates executive offsites that help leadership teams build strategic alignment and decision-making confidence in uncertain conditions, email jonno@consultclarity.org.
Category 1: Rethink What Forecasting Is
The foundation of effective forecasting under uncertainty is replacing a set of assumptions that worked in stable conditions with a different set that works in volatile ones.
1. Understand the Difference Between Risk and Uncertainty
Most leaders treat all unknowns as "risk," but MIT Sloan Management Review draws a sharp and important distinction. Risk has boundaries and historical data. It can be priced, hedged, and planned around because it represents a partially knowable probability distribution. Radical uncertainty, the kind produced by unprecedented events, trade policy reversals, or technological disruption at scale, has none of those characteristics. When events move far outside the range of historical precedent, even the most sophisticated models produce forecast errors that are essentially random.
The practical implication is significant. Leaders who treat radical uncertainty as a risk management problem will apply quantitative tools to a qualitative challenge and be surprised when those tools fail. The right response to radical uncertainty is not more precise modelling. It is building organisational systems that can identify and respond to early signals faster than competitors. Knowing which type of uncertainty you are actually dealing with, at any given moment, is the first and most important forecasting decision a leader makes.
2. Replace the Annual Budget Mindset With a Planning System
The annual budget made sense when the world was stable enough that assumptions built in January remained valid by December. In a volatile economic environment, a static annual budget is not just unhelpful. It can actively mislead decision-making by creating false confidence in numbers that have already been overtaken by reality. The shift required is from a budgeting mindset, which asks "did we hit our plan?", to a planning system mindset, which asks "what has changed, and what does that mean for our next decision?"
This does not mean abandoning annual budgets entirely. It means treating the annual budget as a baseline orientation point rather than an operational truth, and building a rolling forecast cadence alongside it that continuously updates your picture. The budget tells you where you intended to go. The rolling forecast tells you where you are actually heading. Leadership teams that conflate these two tools are perpetually surprised by what their actual numbers reveal.
3. Separate Leading Indicators From Lagging Indicators
One of the most common forecasting mistakes leaders make is building their decision-making on lagging indicators. Revenue, profit, and headcount are lagging indicators. They tell you what already happened. By the time they register a problem, the problem has typically been building for months. Leading indicators, by contrast, are signals that precede changes in business performance. They include things like sales pipeline velocity, customer inquiry patterns, supplier lead times, competitor pricing moves, consumer confidence surveys, and freight volumes.
Building a dashboard of five to eight leading indicators specific to your business and industry is one of the highest-leverage forecasting activities an executive team can do. The discipline is not in finding indicators. It is in agreeing, in advance and with the whole leadership team, on what each indicator is telling you and what decision it should trigger. Leading indicators only work if the leadership team has pre-committed to acting on what they reveal, rather than explaining them away after the fact.
4. Challenge Your Planning Assumptions Explicitly
Every forecast rests on a set of assumptions, and most planning processes never name those assumptions explicitly. They are baked into the model invisibly, which means they can only be tested after they have already been proven wrong. One of the most valuable things a leadership team can do before any forecasting cycle is to surface the three to five assumptions on which their plan most depends, assign a realistic probability of each assumption holding, and discuss openly what happens to the plan if even one of those assumptions fails.
This exercise, which takes less than two hours when facilitated well, consistently produces two results. First, it reveals which parts of the plan are genuinely robust and which are fragile. Second, it identifies the early warning signals that should trigger a plan revision. Without this step, organisations are perpetually reactive. With it, they have a pre-agreed decision framework that makes adaptation faster and less politically fraught when conditions change.
Category 2: Build Adaptive Forecasting Systems
Once the mindset shift is in place, the practical tools of adaptive forecasting provide the operational structure that turns intention into execution.
5. Implement Rolling Forecasts
A rolling forecast updates projections on a regular cadence, typically monthly or quarterly, incorporating the most recent data and revised assumptions. Unlike a static annual budget that grows stale by March, a rolling forecast gives leadership teams a continuously current view of revenue trends, cost trajectories, and market conditions. The practical version is a 12-month or 18-month rolling window that moves forward each month, so the organisation always has a full year's forward visibility rather than shrinking to a five-month view by August.
The discipline required is twofold. First, the cadence must be protected. Rolling forecasts only work if they actually roll. Many organisations start them and then let the cadence slip under operational pressure, which defeats their purpose entirely. Second, the forecast must be connected to decisions. A rolling forecast that is produced, reviewed, and filed without changing any operational priorities is an expensive waste of time. The question at every forecast review should be: what decision does this updated picture change?
6. Build a Three-Scenario Framework
Scenario planning is the practice of developing multiple plausible futures and pre-building a response to each. The standard three-scenario structure includes a base case, which reflects current trends continuing broadly as expected; a downside case, which captures a meaningful deterioration in key assumptions; and an upside case, which captures material improvement. The three scenarios should not be arbitrary optimism and pessimism. They should each be internally consistent stories about how the world could plausibly develop, with each scenario attached to a set of trigger signals that would indicate which scenario is actually playing out.
The reason scenario planning works under uncertainty is precisely because it does not pretend to know which future will arrive. It prepares the organisation to act decisively whichever one does. The trap to avoid is what MIT Sloan research describes as anchoring on false certainty. Leaders under pressure often collapse into the base case and treat it as a prediction rather than one of three plausible paths. Protecting the rigour of all three scenarios, and maintaining genuine commitment to the downside plan even when the base case looks intact, is the leadership discipline that determines whether scenario planning produces real resilience or just theoretical comfort.
7. Run Sensitivity Analysis on Your Critical Variables
Sensitivity analysis asks: if this one variable changes by X percent, what happens to our overall result? For most organisations, two or three critical variables drive the majority of financial outcomes. These might be revenue per customer, occupancy rate, raw material prices, foreign exchange rates, or key personnel costs. Identifying these variables and stress-testing them individually and in combination reveals the organisation's actual points of fragility, as distinct from the theoretical risks that look concerning on paper but rarely materialise.
The leadership value of sensitivity analysis is not in the numbers themselves. It is in the conversation it forces. When a leadership team sits down and works through "if our major contract renews at 20 percent lower value, what does that do to our cost structure?", they are doing something more valuable than forecasting. They are building shared understanding of the organisation's financial architecture, which makes every subsequent conversation about resource allocation, investment timing, and contingency planning faster and more productive.
8. Shorten Your Planning Horizons
Annual planning horizons assume a level of future visibility that volatile environments rarely provide. One of the most practical adaptations high-performing organisations make in uncertain conditions is shortening their primary operational planning horizon from twelve months to ninety days, while maintaining a longer-range directional view. The ninety-day planning cycle produces a tighter loop between plan, action, and result, which accelerates organisational learning and reduces the cost of being wrong.
This does not mean abandoning long-range thinking. Organisations that shorten their operational horizon while eliminating their strategic horizon end up optimising for the immediate quarter at the expense of competitive positioning. The right architecture is a ninety-day operational plan, a rolling twelve-to-eighteen-month financial forecast, and a three-to-five-year strategic direction. Each operates at a different cadence with different levels of precision and different decision rights. When leaders conflate these layers, they either over-plan for the short term or under-plan for the long term. Separating them explicitly prevents both.
9. Build Trigger Points Into Your Plans
A trigger point is a pre-agreed signal that activates a specific pre-planned response. It might be defined as "if occupancy drops below 70 percent for two consecutive months, we activate our cost reduction protocol." Or "if raw material costs rise by more than 15 percent, we renegotiate our supplier contracts and review our pricing strategy." Trigger points solve one of the most persistent leadership failures in uncertain environments, the gap between knowing what to do and actually deciding to do it under pressure.
Without pre-agreed trigger points, decisions about whether to act on deteriorating conditions are made under emotional pressure, with incomplete information, and often too late. With pre-agreed trigger points, the decision has already been made in conditions of relative calm. When the signal arrives, the leadership team is not deciding whether to act. They are simply executing a plan they have already stress-tested and committed to. This shift from reactive to proactive decision-making is one of the most significant competitive advantages available to organisations in volatile environments, and it is almost entirely underutilised.
For more on how executive teams build the kind of aligned decision-making culture that makes these approaches work in practice, read the blog post "21 Effective Tips for Executive Team Offsites" at consultclarity.org.
Category 3: Address the Human Dimensions of Forecasting
The technical tools of forecasting are well documented. The human dimensions that determine whether those tools actually work in a real leadership team are almost entirely neglected in the literature.
10. Recognise and Counter Cognitive Bias
Leaders are not immune to the cognitive biases that distort forecasting. Confirmation bias causes leaders to weight evidence that supports their existing plan more heavily than evidence that challenges it. Recency bias causes leaders to overweight recent data, projecting current trends forward indefinitely when conditions are actually at an inflection point. Availability bias causes leaders to overestimate the probability of vivid, memorable events and underestimate slow-moving but high-impact trends.
These biases are not character flaws. They are features of human cognition under pressure, and they affect even experienced, intelligent leaders. The countermeasure is not better willpower. It is structural. Assigning a team member to play "devil's advocate" on every major forecast, using pre-mortem analysis to identify ways a plan could fail before committing to it, and systematically seeking out disconfirming evidence are practices that organisations can institutionalise rather than relying on individual leaders to overcome their own cognitive limitations in the moment.
11. Communicate Uncertainty Without Triggering Panic
One of the most difficult leadership skills in uncertain environments is communicating honestly about what you do not know without creating the kind of anxiety that degrades team performance. Research associated with Ron Heifetz, founder of the Center for Public Leadership at Harvard Kennedy School, shows that leaders who simply say "we don't know" without offering a framework for thinking about the uncertainty can inadvertently amplify rather than reduce team anxiety. The solution is what Heifetz describes as speaking with a "voice of authority," which means being open about challenges and uncertainties while simultaneously providing a structured path forward.
Practically, this means communicating not just the uncertainty itself but the signals you are monitoring, the scenarios you have prepared for, and the decision triggers you have pre-agreed. This approach helps people create and evaluate possible futures rather than simply worrying about them. It transforms uncertainty from a threat that cannot be managed into a variable that is being actively tracked. The distinction between these two experiences, for team members, is the difference between anxiety and confidence.
12. Build Psychological Safety for Honest Forecasting
Organisations get the forecasts their culture produces. In cultures where delivering bad news has negative consequences, where leaders shoot the messenger, or where admitting uncertainty is read as incompetence, forecast accuracy deteriorates rapidly. People learn to present numbers that protect them rather than numbers that are true. The result is a leadership team that is making decisions based on a polished, politically shaped picture of reality rather than the actual one.
Building a culture where honest forecasting is safe requires deliberate leadership behaviour. Leaders must visibly reward accurate pessimistic forecasts. They must model intellectual humility by acknowledging their own wrong predictions and treating them as data rather than failures. They must create forums where challenging assumptions is expected and valued rather than seen as obstructive. Teams that feel safe sharing uncomfortable data are the ones that catch forecast-breaking signals early, when there is still time to act on them.
13. Make Difficult Conversations Part of the Forecasting Process
Most forecast reviews are technically thorough and interpersonally evasive. The numbers get discussed. The relationships between the numbers and the decisions those numbers should trigger do not. Leaders know which budget lines are underperforming, which team members are not delivering, and which strategic priorities are actually failing. They often know this well before the forecast makes it visible. The forecasting process becomes genuinely useful when it creates the conditions for those conversations to happen early and honestly rather than late and defensively.
Jonno White's bestselling book Step Up or Step Out, which has resonated with over 10,000 leaders globally, provides practical frameworks for navigating exactly these kinds of difficult conversations.
Jonno also delivers workshops for leadership teams who want to build the communication culture that makes honest forecasting possible. Email jonno@consultclarity.org to discuss how these workshops might serve your team.
Category 4: Operationalise Resilience
The final category moves from forecasting as an analytical practice to resilience as an organisational capability.
14. Protect Liquidity as a Strategic Priority
In uncertain conditions, cash is not just a financial metric. It is a strategic resource that determines how many options your organisation has when conditions deteriorate. Finance leaders who gathered at a recent CFO roundtable consistently described shortening their cash forecasting cycles, conducting daily or weekly cash reviews, and tightening working capital management as their highest-priority responses to economic volatility. The principle behind these actions is straightforward. You simply have more options when your liquidity is secure.
For leadership teams, protecting liquidity means treating cash flow forecasting as a leadership conversation, not just a finance function. Decisions about customer payment terms, supplier contract structures, capital expenditure timing, and inventory levels all have material cash flow implications that are often made in silos without full visibility into their combined effect. Bringing these decisions into a unified cash flow conversation, with the whole leadership team present, is one of the most underutilised levers for building financial resilience in uncertain conditions.
15. Build a Disciplined Capital Allocation Framework
Economic uncertainty produces competing pressures on capital. The downside risk prompts defensive retrenchment. The potential upside, including acquiring distressed competitors, investing in talent that becomes available, or expanding into market share vacated by weaker players, requires offensive investment at exactly the moment when defensive instincts are strongest. Leaders who lack a clear capital allocation framework tend to oscillate between these extremes based on the most recent news cycle, which is neither a defensive nor an offensive strategy.
A disciplined capital allocation framework pre-decides the criteria by which investment decisions are made in different economic scenarios. It answers questions like: at what financial threshold does a potential acquisition become worth pursuing? What is the minimum liquidity buffer below which all discretionary investment stops? Which parts of the business receive protected investment regardless of external conditions? These decisions made in advance, with clear criteria, are far more reliable guides to resource allocation under pressure than in-the-moment judgement calls made by a leadership team that is simultaneously managing operational stress and strategic uncertainty.
16. Invest in Your People Through Uncertainty
The instinct to cut learning and development budgets in uncertain conditions is understandable and almost always strategically wrong. Research consistently shows that organisations that continue investing in people development during downturns emerge with stronger talent pipelines, higher employee loyalty, and better operational performance than those that cut their way through. The reason is both practical and cultural. Practically, skills gaps that were manageable in stable conditions become critical vulnerabilities when the organisation needs to adapt.
This is not an argument for ignoring financial realities. It is an argument for treating people investment as a strategic allocation decision rather than a default cost-cutting target. Leaders who ask "which investments in our people will most directly support our ability to adapt to what is coming?" are making a fundamentally different decision to leaders who ask "what can we cut from L&D to protect short-term margins?" Both may arrive at similar numbers on a spreadsheet. The second approach does significantly more organisational damage at a cost that does not show up in the current quarter.
Jonno White facilitates executive offsites and team workshops that help leadership teams build the alignment, communication, and decision-making culture that allows them to navigate uncertainty together rather than in silos. Whether face to face or virtual, and international travel is often far more affordable than organisations expect, these sessions give teams the shared frameworks and honest conversations that uncertainty demands. Email jonno@consultclarity.org to discuss what this could look like for your team.
17. Build a Culture Where Adaptation Is Rewarded
The most durable competitive advantage in an uncertain economy is not a better forecast. It is an organisational culture where the ability to sense change early, surface it honestly, and adapt quickly is rewarded rather than punished. This culture does not emerge from policy. It emerges from the consistent, visible behaviour of senior leaders across hundreds of small moments. When a leader thanks a team member for flagging a deteriorating signal rather than waiting for the quarterly review to confirm it, that is culture building. When a leader acknowledges publicly that a previous forecast was wrong and explains what it revealed about the organisation's assumptions, that is culture building.
Jonno White works with leadership teams across a wide range of industries to build exactly this kind of adaptive culture, using Working Genius, DISC, and CliftonStrengths frameworks to help teams understand their collective strengths and communication patterns. As a Certified Working Genius Facilitator, Jonno helps executive teams identify the conditions under which their people are most engaged, most honest, and most capable of doing the difficult thinking that uncertainty demands.
To explore what this work could look like for your organisation, email jonno@consultclarity.org.
Common Mistakes Leaders Make When Forecasting in Uncertainty
The most expensive mistake is treating the forecast as an end in itself rather than a decision-making tool. Organisations pour enormous energy into producing elegant financial models and then fail to connect those models to the decisions that would change if the model changed. A forecast that does not change a decision is not a forecast. It is a performance.
The second common mistake is over-scenario-ing. Finance leaders at CFO roundtables note a real risk of the "law of diminishing returns" in scenario planning. Leaders can generate infinite plausible scenarios, but finance teams have limited time and cognitive bandwidth. More than five scenarios typically produces confusion rather than clarity. The discipline is in identifying the two or three scenarios that meaningfully differ from one another and building genuine operational responses to each.
The third mistake is letting the base case collapse into a prediction. Once scenario planning is underway, organisational gravity pulls toward the base case. Teams implicitly treat the base case as "what will happen" and treat the downside as an academic exercise that will never actually be needed. This is precisely the cognitive failure that scenario planning is designed to prevent. Maintaining genuine commitment to the downside plan, including pre-agreeing on the trigger points that activate it, requires active leadership discipline at every planning cycle.
The fourth mistake is building forecasts in silos. When finance produces a revenue forecast, operations produces a cost forecast, and HR produces a workforce forecast, and these three documents are never reconciled against a single set of assumptions, the organisation is effectively planning three different futures simultaneously. The reconciliation step, which requires leadership teams to work through the tensions between their individual function's plans and agree on a unified view, is where most of the real value in forecasting is created. It is also the step most frequently skipped.
The fifth mistake is neglecting the communication layer. Leaders often assume that because they have done the forecasting work, the team understands the picture and is aligned around the response. Research consistently shows that this assumption is wrong. Employees form their own views of the economic situation based on partial information, informal conversations, and visible leadership behaviour. Leaders who communicate clearly and regularly about what the forecast is showing, what it means for priorities, and what would change the plan maintain the psychological safety and organisational alignment that makes adaptation possible. Silence in uncertain conditions does not project calm. It projects confusion.
Implementation Guide: Building Your Forecasting System in 90 Days
Week one to two: Start with your assumptions. Before touching any spreadsheet, gather your leadership team and identify the five assumptions your current plan most depends on. Assign a realistic probability and an early warning signal to each. This conversation alone will surface misalignments in your leadership team's shared picture of reality that would otherwise only become visible when they cause a problem.
Weeks three to four: Build your indicator dashboard. Identify five to eight leading indicators specific to your business. Assign ownership of each to a specific leadership team member. Agree on the reporting cadence, which for most organisations in volatile conditions should be monthly at minimum. Agree on the decision each indicator is designed to inform.
Weeks five to eight: Build your three scenarios. Develop base case, downside, and upside scenarios for the next twelve months. Write each scenario as a narrative, not just a spreadsheet. Name the assumptions that distinguish each scenario from the others. Pre-agree the trigger points that would indicate each scenario is playing out. For each scenario, identify the two or three highest-priority operational responses.
Weeks nine to ten: Set up your rolling forecast cadence. Identify who owns the monthly forecast refresh, what data feeds it, and what the review process looks like. Protect the cadence in the calendar before it gets crowded out by operational priorities.
Weeks eleven to twelve: Communicate the framework to your team. Not the numbers. The framework. Help your broader team understand how the organisation is approaching uncertainty, what signals you are monitoring, and how decisions will be made. This communication builds the psychological safety that makes honest reporting possible throughout the organisation.
Ongoing: Review your assumptions quarterly. Treat every quarterly review as an opportunity to ask not just "how are we tracking?" but "which of our planning assumptions has changed?" Treat wrong predictions as data rather than failures and extract the learning explicitly each cycle.
For leadership teams who want external facilitation to accelerate this process, an executive offsite can compress what would otherwise take twelve weeks into two focused days.
To discuss how Jonno White can facilitate your team through this process, email jonno@consultclarity.org.
Frequently Asked Questions
What is the difference between a budget and a forecast?
A budget is a fixed plan built at a point in time that reflects your intentions for a set period, usually a financial year. A forecast is a dynamic, regularly updated projection that incorporates actual results and revised assumptions to produce a current view of where you are headed. In stable conditions, budgets and forecasts may look similar. In volatile conditions, a forecast updated monthly will diverge significantly from a budget built six months earlier, and the forecast is the more reliable guide to current reality.
What is scenario planning, and how do leaders actually use it?
Scenario planning is the practice of developing two to five internally consistent, plausible futures and preparing specific operational responses to each. Leaders use it by first identifying the key uncertainties that could most materially affect their organisation's performance, then building narratives around the two or three most divergent combinations of those uncertainties. The output is not a prediction. It is a set of pre-agreed responses to different futures, along with the early warning signals that would indicate which future is arriving.
How do you know which leading indicators to track?
Start by asking: what are the two or three variables that, if they changed significantly, would most affect our revenue or cost base? Then ask: is there an observable, measurable signal that tends to move before that variable changes? Good leading indicators are timely, observable, and causally connected to business outcomes. Customer inquiry rates, pipeline conversion rates, and supplier lead times are examples. GDP growth rates and published industry surveys are typically too slow and too aggregate to be useful as operational leading indicators for most businesses.
How do you communicate uncertainty to your team without creating panic?
The research points to a specific approach. Rather than simply communicating the uncertainty, leaders should share the framework they are using to navigate it. Describe the scenarios you have built. Name the signals you are monitoring. Explain what would trigger a change in plan. This approach transforms uncertainty from a formless threat into a set of manageable variables that the team can actively monitor alongside you.
Can I hire someone to help facilitate this forecasting and strategic planning work with my team?
Jonno White facilitates executive offsites and leadership team workshops specifically designed to help organisations build the strategic alignment, shared decision-making frameworks, and communication culture that makes forecasting under uncertainty work in practice. As a Certified Working Genius Facilitator, bestselling author of Step Up or Step Out, and host of The Leadership Conversations Podcast with 230+ episodes, Jonno works with leadership teams across Australia, the UK, the US, Singapore, and beyond.
International travel is often far more affordable than organisations expect. Email jonno@consultclarity.org to explore what this engagement could look like for your team.
How often should we update our forecast in uncertain conditions?
Monthly is the minimum effective cadence for a rolling forecast during periods of high volatility. Daily or weekly cash flow reviews are appropriate when liquidity is under pressure. Quarterly full-cycle planning reviews, where the underlying assumptions and scenarios are reassessed rather than just the numbers updated, are appropriate for most organisations. The key is that the review cadence is driven by the pace of change in your environment, not by administrative convenience.
What do we do when the forecast keeps being wrong?
Stop trying to make the forecast more accurate and start asking what the forecast is telling you about your assumptions. Persistent forecast errors are almost always tracking errors in assumptions rather than modelling errors in the spreadsheet. When your base case keeps missing, find the one or two assumptions that the forecast depends on most heavily, and ask whether those assumptions were reasonable to begin with. This reframe turns forecast failure from an embarrassing performance into a diagnostic tool that reveals the real architecture of your business.
Final Thoughts
Economic uncertainty will not resolve into certainty on a schedule that is convenient for your planning cycle. The leaders who navigate it best are not the ones with the most sophisticated models. They are the ones who have built organisations that are genuinely good at watching, adapting, and deciding together under pressure. The 17 approaches in this article are not a guarantee of getting the future right. They are a system for building an organisation that can respond faster when you get it wrong.
The shift from prediction to adaptation is the most important mindset change a leader can make in a volatile environment. Prediction invests enormous energy in reducing uncertainty before action. Adaptation invests that same energy in building the capacity to respond rapidly regardless of how the uncertainty resolves. In an environment where economic signals are changing faster than planning cycles can track, adaptation is the only reliable competitive strategy.
Jonno White works with leadership teams across the full spectrum of this challenge: building the team communication culture that makes honest forecasting possible, facilitating the executive offsite conversations where scenarios get built and assumptions get challenged, and running the Working Genius and DISC workshops that help teams understand how to bring out the best thinking in each other under pressure.
His book Step Up or Step Out offers practical frameworks for the difficult conversations that every forecasting process eventually surfaces.
For leadership teams who want external support to build these capabilities, international travel is often far more affordable than organisations expect. Email jonno@consultclarity.org to start the conversation.
About the Author
Jonno White is a Certified Working Genius Facilitator, bestselling author, and leadership consultant who has worked with schools, corporates, and nonprofits across the UK, India, Australia, Canada, Mongolia, New Zealand, Romania, Singapore, South Africa, USA, Finland, Namibia, and more. His book Step Up or Step Out has sold over 10,000 copies globally, and his podcast The Leadership Conversations has featured 230+ episodes reaching listeners in 150+ countries. Jonno founded The 7 Questions Movement with 6,000+ participating leaders and achieved a 93.75% satisfaction rating for his Working Genius masterclass at the ASBA 2025 National Conference. Based in Brisbane, Australia, Jonno works globally and regularly travels for speaking and facilitation engagements. Organisations consistently find that international travel is far more affordable than expected.
To book Jonno for your next keynote, workshop, or facilitation session, email jonno@consultclarity.org.
Next Read: 21 Effective Tips for Executive Team Offsites
When leadership teams want to put the strategic planning frameworks from this article into practice, an executive offsite is often the most efficient vehicle. A well-facilitated offsite gives senior leaders the space they never get in busy conference rooms to think deeply, disagree productively, and make decisions that stick. Strategic decision-making improves when senior leaders begin with clear facts. In practice, this might include a SWOT analysis, key challenges, market conditions, or internal performance data. Without a shared fact base, leadership groups debate perceptions instead of aligning around real problems that require action. Frameworks help leadership teams reach clarity faster. Working Genius, OKRs, SWOT analysis, and similar tools reduce complexity and focus the team on specific goals.