CASPer competing obligations: choose within real limits

“I would support everyone” is a generous intention. It is not yet a decision when three legitimate tasks compete for time that only allows two.

A useful response identifies what can actually be completed, explains which considerations matter, and names the consequence of the choice. You can care about a person whose request you cannot fulfil. What you cannot do is make the tradeoff disappear by leaving the timetable vague.

Begin with Acuity Insights’ official practice resources. This fictional planning exercise is QuietStride’s independent teaching material, not an official prioritisation rubric or evidence of likely Casper results.

Ninety minutes, three commitments

Original fictional scenario. You coordinate a small community arts programme. It is 2:20 p.m. You have ten minutes to check priorities and make brief notification calls, followed by ninety protected work minutes from 2:30 until the 4 p.m. task deadline. Closing duties are handled outside that protected window. There is no authorised person available to take over the three tasks below today.

You face three requests. For this exercise, the time estimates are reliable and include the relevant checks. Tasks A and B require completion to produce their stated benefit; neither can be finished tomorrow.

You are authorised to prioritise this work. A partner strongly urges you to do the grant application because “funding always comes first.” You previously confirmed both the venue commitment and the volunteer appointment.

What do you choose, and how do you explain the work you will not complete?

Establish feasibility before defending a preference

All three tasks require 135 minutes. The available work time is 90 minutes. Task A plus B requires 105 minutes, so dropping the orientation would still not allow you to complete both.

Two feasible combinations are A plus C, requiring 75 minutes, and B plus C, requiring 90 minutes. A can run from 2:30 to 3:15; B could instead run from 2:30 to 3:30. Either leaves the scheduled 3:30 orientation intact.

The fifteen minutes left by choosing A plus C does not complete B. It could be used for a genuinely useful small task or contingency, but not described as a successful grant submission. “I would start everything and finish what I can” risks spending time without achieving the deadline-dependent benefit of either major task.

In a real situation, estimates might be uncertain. You would check which components can be shortened or delegated. The case deliberately fixes those facts so that the remaining task is a decision, rather than a search for imaginary extra capacity.

Distinguish urgency, importance and a loud request

A and B share the same deadline. Calling one urgent therefore does not decide between them. A has a prior commitment and identifiable reliance: people have arranged their Saturday. B has a possible future benefit, whose size and likelihood are not specified. C is a confirmed appointment with an operational consequence tomorrow.

Under these facts, I would choose A plus C. This gives weight to existing commitments and concrete disruption, while recognising that the grant opportunity has value. It does not prove that promises always override new needs. A newly identified, more serious consequence could justify changing the decision.

Headcount alone is also insufficient. “Twenty-five people beat one volunteer” ignores differences in impact and the fact that A and C can both fit. Likewise, the partner’s influence is not itself a reason for priority. If the partner has relevant information about the funding consequences, consider that information rather than the pressure attached to it.

Name the opportunity cost accurately

OpenStax’s explanation of opportunity cost identifies the value of the best alternative forgone. It is not the sum of every desirable thing left undone.

Here, keeping C in both feasible plans leaves a choice between A and B. Choosing the venue work gives up the opportunity to submit the grant application. That loss should appear in your explanation. It should not be described as losing the entire grant amount, because an application would not guarantee an award.

The concept makes the sacrifice visible; it does not supply a universal way to put commitments, access, uncertainty and money onto one numerical scale. You still need to explain why the identified consequences deserve the weight you give them.

Critique the apparently accommodating response

Consider this proposal:

I would reassure everyone that their needs matter, complete the grant application, check in with the volunteer and handle the venue booking between other tasks. If necessary, I would stay late.

The plan consumes more time than exists. A brief check-in is not the promised orientation, and the venue work cannot fit into the gaps stated. Staying late does not repair a 4 p.m. deadline. The response also offers reassurance before identifying which promises can be kept.

A different weak answer would choose A and C but never tell the partner. Avoiding the uncomfortable conversation transfers the surprise to someone else. Once you know B will not be completed, timely notice matters even when no rescue is available.

A worked response with a revisable decision

One defensible response would be:

I would complete the venue booking and keep the orientation appointment. Together they fit the available time and honour commitments on which people are already relying. I would tell the partner promptly that I cannot also complete a sixty-minute application before 4, acknowledge the lost funding opportunity, and explain the choice. I would ask whether there is a material consequence I have missed, while being clear that extra help is currently unavailable. If no new information changes the priorities, I would proceed rather than delay all three tasks. Afterwards, I would review how late requests are accepted so that future deadlines are not promised against already committed time.

This response permits revision without remaining indefinitely undecided. Before beginning A, there is a short opportunity to check material information. Once work starts, switching has consequences of its own. A last-minute change should be based on information strong enough to justify the resulting loss, not merely a repeated request.

The later scheduling review also cannot recover today’s grant opportunity. It addresses recurrence, while the immediate explanation takes responsibility for the actual decision.

Transfer exercise: change the stakes, then the capacity

First, change B: it is a verified renewal application needed to retain essential funding for next month’s already scheduled programme, rather than a discretionary new project. The same sixty-minute requirement applies.

Would you still choose A plus C? Explain the harm created by your decision rather than only the benefit protected.

Reasoned feedback. B plus C becomes more defensible because a much larger existing programme may now depend on B. A’s participants still deserve prompt notice and an honest explanation of the released date. Choosing B does not make their disruption irrelevant. Depending on the precise consequences, either decision needs more than the slogan “keep promises” or “funding first.”

Now change capacity instead: an authorised colleague becomes available and can independently finish A before 4. Confirm that the handover is accepted and the colleague has the required information. B plus C for you, with A delegated, may now meet all three needs. The earlier refusal was justified by a real constraint; once that constraint changes, holding the refusal fixed would no longer demonstrate consistency.

For a companion skill, QuietStride’s conditional-plans article explores which missing facts would alter an action. This exercise adds the harder requirement of choosing and explaining what must be forgone when the facts still leave a genuine limit.

Sources and further reading

• Acuity Insights: official Casper preparation resources — the preparation starting point.
• OpenStax, Principles of Economics 3e, section 2.1 — opportunity cost and resource constraints; the ethical prioritisation case is original.