How many hours do you spend making investment decisions?

Executive Summary:
In many companies, considerable management effort is invested in the evaluation, prioritization and approval of investments. However, the actual bottleneck is often not the lack of data, but the limited ability to identify the best economic choice from many possible project combinations. The higher the number of parallel projects, the greater the increase in complexity, coordination effort and opportunity costs.

The key management question is therefore not just: How much time do we invest in investment decisions?
But above all: How much added value are we losing even though we are already investing a lot of time?

Spending a lot of time is not proof of quality

In practice, many hours are often spent on budget rounds, management meetings, forecast coordination, Excel analyses, prioritization rounds and political coordination between departments. This effort conveys control, but does not automatically produce better decisions.

This is because the scope for decision-making grows exponentially with each additional investment option. At a certain point, it is hardly possible for people and traditional tools to properly evaluate all relevant combinations under real restrictions such as budget, capacity, risk, dependencies and strategic goals.

The result: There is a lot of discussion, a lot of calculation and a lot of validation - and yet the best portfolio is not necessarily chosen.

The real cost issue: time consumption versus decision quality

Managers often underestimate a key correlation: It is not only wrong decisions that cost money - even the path to the decision ties up considerable management capacity.

When CFO, CEO, divisional managers, PMO, strategy, finance and operational units repeatedly work on the same investment logic, three cost levels arise simultaneously:

• Direct time costs due to analysis, meetings and coordination
• Indirect frictional losses due to delays and multiple evaluations
• Opportunity costs due to suboptimal project combinations

The third level in particular remains invisible in many organizations. A portfolio can appear formally plausible and yet be significantly below its economic potential.

Heatmap: Time required for investment decisions

The following heat map shows a typical management pattern: The greater the complexity of the portfolio, the more time is required for decision preparation and coordination. At the same time, transparency regarding the actual global optimum often decreases.

What the heat map means for executives

As soon as investment decisions regularly tie up double-digit volumes of hours per week at management level, this is often a sign of structural inefficiency. Decisions are then no longer just made about projects - the company begins to manage decision-making complexity manually.

This is exactly where typical executive problems arise:

• too many loops between the specialist department, finance and management
• Prioritization according to influence, urgency or volume instead of overall value
• no reliable evidence as to whether the approved portfolio is actually optimal
• high management commitment with limited decision-making certainty at the same time

Why classic decision-making logic reaches its limits

Traditional methods usually work with ranking lists, business cases for individual projects, scoring models or sequential approvals. These approaches can be helpful, but are not sufficient with increasing complexity because they do not fully capture the interplay of all options.

The result is a systematic blind spot: Individually good projects do not automatically result in the best portfolio together.

This is precisely why the question of time invested is important - but strategically incomplete. The decisive factor is whether this time leads to a mathematically sound decision.

The executive question that every company should ask itself

If your organization invests many hours in investment decisions, the next question should be:

Does this effort actually identify the best portfolio from an economic standpoint - or merely a defensible compromise?

The larger the portfolio, the more relevant this distinction becomes. This is because there can be a considerable difference in value between a good portfolio and the global optimum - with an identical budget.

Conclusion

Time is a relevant factor in investment decisions - but not a sufficient indicator of quality. Many companies are already investing considerable management capacity in portfolio decisions without knowing for sure whether the result is really optimal.

If you want to reduce the time required, increase the quality of decisions and reduce opportunity costs, you need to go beyond traditional prioritization. It is no longer meetings that determine portfolio quality, but the ability to calculate complex decision spaces in a structured and comprehensible manner.

Executive takeaway:
It is not the number of hours invested that is decisive, but whether these hours lead to the best result.