In this post, we look at instances where forecast confidence can become forecast theatre: a persuasive prediction continues to carry authority after its connection to evidence, ownership and action has weakened.
Consider an investment case with a three-year payback. The proposed expenditure is clear, the benefits are attractive and the spreadsheet shows when the business should recover its money. Leadership approves the case, procurement negotiates the purchase and the project moves into delivery.
Twelve months later, the organisation can explain what it has spent and what has been implemented. Establishing whether the promised benefits are emerging proves more difficult. Adoption is slower than expected. Some operating costs are higher. Other priorities have delayed the changes needed to realise the savings.
The original payback still appears in leadership discussions, but who is now responsible for checking whether it remains credible?
The person who wrote the case may have moved on to another project. Finance may be tracking expenditure. Procurement may have secured the agreed price. The delivery team may have completed its brief. Each can have performed their role competently while the investment’s overall outcome remains uncertain.
Forecasts do different jobs
Sales forecasts are the most familiar commercial example, but forecasts support decisions throughout a business.
They justify investment, allocate resources, support supplier commitments and set expectations for customer satisfaction, marketing return and cost reduction. They also help leaders decide how to manage declining demand.
A forecast is a reasoned view of what is likely to happen under stated assumptions. It is distinct from a target, which describes the result the business intends to achieve, and an ambition, which may stretch beyond the current evidence.
All three have a place. The problem arises when leadership expects the forecast to match the desired result regardless of what the evidence suggests.
A forecast below target should prompt a decision about the gap. Reworking the forecast until the gap disappears can remove the warning without improving the outlook.
Investment cases need owners beyond approval
An investment does not need direct sales attached to it to have a forecast worth testing. A data-centre upgrade might promise lower operating costs, additional capacity or reduced disruption. A product investment might depend on adoption, retention or future revenue. A process change might promise time savings that allow the business to handle more work.
Each case depends on assumptions that different people influence.
A product manager may write the business case, but cannot necessarily directly control sales execution or customer adoption. An infrastructure manager may specify the investment while procurement influences acquisition costs and operational teams determine how the capacity is used. Finance may challenge the calculations without owning the activities required to deliver the benefits.
Responsibility should follow those dependencies. Each material assumption needs an owner, with an accountable sponsor connecting the overall outcome.
For the three-year payback case, that means comparing actual expenditure, continuing operating costs and realised benefits with the original expectations. A saving that releases staff time also needs a credible explanation of how that time creates value; it should not automatically be treated as a reduction in cash expenditure.
If the assumptions change, leadership needs an updated view of the likely payback and a decision about the next move. Completing the implementation does not establish that the investment has achieved its purpose.
Annual plans must hold together
An annual business plan brings several forecasts into one financial picture. Revenue growth may sit alongside redundancies, supplier savings, lower marketing expenditure and expected productivity gains.
The individual numbers may look reasonable, but their combination needs testing.
There is another risk. The calculations may be correct, the underlying data accurate and the assumptions clearly documented, yet the forecast may still describe a business that no longer exists in quite the same form. Customer buying behaviour may have changed, delivery capacity may have weakened or market conditions may have moved on. Confidence in the calculations should not be confused with confidence that the assumptions still reflect current reality.
Can the business reduce service capacity while improving retention and customer satisfaction? Does the sales forecast assume leads from campaigns whose budget has been removed? Have redundancy costs and the timing of savings been included? Will remaining employees have the capacity to deliver the proposed improvements?
Finance can assemble and challenge the plan. The leaders responsible for its assumptions must explain how the outcomes will be achieved and what could prevent them.
Sales confidence needs the same discipline. An interested contact or submitted proposal is evidence of progress, but the buyer’s funding, approval process and reasons to act determine whether the expected timing is credible.
When opportunities slip, the forecast should show what has changed. Replacement deals need evidence of their own, rather than simply restoring the total to target.
Procurement forecasts can become binding commitments
A supplier may offer a lower price in return for a volume commitment. A rebate may depend on crossing a purchasing threshold. An incentive may improve as spend increases, while other agreements carry minimum payments or consequences for a shortfall.
The business needs to distinguish expected demand from what it has actually committed to buy. It must also understand which pricing assumptions depend on reaching a threshold.
Procurement may negotiate the agreement, but the demand forecast can originate in sales, product or operations. Finance may then include the anticipated saving in the annual plan.
Suppose purchasing falls below the level needed to qualify for a rebate. The budgeted saving may no longer be available. Buying more simply to reach the threshold could create a different cost through unused capacity, excess stock or cash tied up unnecessarily.
The appropriate response depends on the agreement and the economics. Someone internally must monitor that relationship, test the demand assumptions and escalate the decision while options remain.
The supplier may be measuring performance closely. Leadership needs confidence that its own business is doing the same.
Improvement forecasts need a credible route to the outcome
A customer satisfaction programme may promise a five-point improvement. A marketing plan may forecast a stronger return on investment. Both require an explanation of how the proposed work should produce the expected result.
For customer satisfaction, which customers should experience an improvement, what will change for them and when should that become visible? A higher score needs interpretation if the respondent mix, survey method or response rate has also changed.
The causes may cross departmental boundaries. Service can own the measure while sales expectations, product reliability and delivery decisions influence the experience. Assigning the target to one team does not give that team control over every dependency.
Marketing return creates similar questions. Is the forecast measuring attributable revenue or incremental profit? Have the relevant costs been included? How long is the buying cycle, and what must sales and delivery do for the expected return to emerge?
An attributed sale does not by itself establish that the campaign caused an additional sale. Nor does a forecast return become credible simply because the proposed activity resembles something that worked before.
Improvement forecasts need a baseline, an explicit rationale and evidence capable of showing whether the intervention is helping.
A useful forecast can predict decline
Forecasting should also help leadership manage a business whose market is shrinking.
Ofcom’s postal monitoring report for 2024–25 provides a current example of why separate measures matter. UK addressed letter volumes, including election mail and excluding international mail, fell by 2% to 6.5 billion items. Addressed letter revenue nevertheless increased by 4.9% in real terms.
The figures do not establish what any individual postal operator should do. They illustrate how revenue can rise while demand continues to decline. A revenue forecast alone would leave part of the commercial picture unexplained.
For a B2B business with a declining offer, leadership needs to assess the pace of change, remaining margin, customer migration and the cost of sustaining the service. It may need to renegotiate supplier commitments, withdraw capacity gradually or fund an alternative before the existing revenue weakens further.
The forecast should help determine those decisions. Repeatedly assuming recovery can delay them until the business has fewer choices.
Accountability must survive organisational change
Forecast ownership can disappear when people leave or departments are restructured. The underlying commitments remain.
An investment still needs its benefits tested. A supplier agreement still has thresholds. Customers still expect promises to be honoured. Leadership needs to transfer ownership of those obligations explicitly, alongside the future work assigned to the new organisation.
This deserves fuller treatment elsewhere, but the immediate question is simple: who has accepted responsibility for the assumptions and commitments inherited from the previous team?
Five questions that distinguish confidence from theatre
Across these different forecasts, leadership can apply a common test:
- What assumptions must hold? Make the material dependencies visible, including timing, customer behaviour, capacity and costs.
- Who owns the assumptions and the overall outcome? Distinguish preparing the forecast, contributing to it and being accountable for acting on it.
- What will we compare with reality, and when? Establish the baseline, measures and review points before the commitment is approved.
- What evidence would change our view? State what would justify revising confidence, timing or the expected outcome.
- What decision follows if the forecast no longer holds? Identify when to intervene, renegotiate, reduce exposure, recover the work or stop.
An updated forecast should preserve visibility of the original commitment. Leadership needs to understand both the latest outlook and what changed from the case on which it acted.
Where uncertainty is material, an explained range can be more useful than a single precise number. Different forecasts will need different review rhythms; the purpose is to provide enough warning to make a useful decision.
Confidence should be explainable
A missed forecast does not automatically demonstrate poor judgement. Reasonable assumptions can be overtaken by events. Accountability should distinguish that from weak original reasoning, overlooked evidence or a failure to respond when the position changed.
Leaders influence whether that distinction is possible. If a deteriorating forecast is treated as disloyalty or lack of ambition, people have a reason to maintain reassuring numbers. Constructive review asks what has changed, why it matters and what the business should do next.
The same discipline should apply when a forecast helped secure approval, resource allocation or reward. The organisation should subsequently be able to explain the outcome and learn from the assumptions that proved unreliable.
Oak CORE can help where commercial expectations, customer evidence and operational commitments need an independent examination before leadership decides its next move.
Forecast confidence is earned through evidence, clear ownership and timely action. The value of a forecast is the quality of the decisions it enables before the outcome is known.
Source
Ofcom: Post Monitoring Report — Postal services in the financial year 2024–25, published December 2025, section 1, “Letter volumes and revenues”, page 9 (PDF page 9). Figures describe the monitored addressed-letter market; revenue growth is inflation-adjusted.