The contribution that asks what a plan is spending. It treats flexibility, redundancy and reversibility as things of value, usually priced at zero until the day they are needed. It also asks when to stop keeping options open and commit.
Which options are we spending, and which commitments are irreversible?
Optionality before optimisation moves the question from what is most efficient against a forecast to what keeps an institution able to act well across the futures the forecast cannot see. Most planning disciplines strip out slack, duplication and unused options as waste. Complexity thinking treats some of that waste as adaptive capacity, and asks which options a plan is spending without anyone deciding to. Its tools come from finance, water and climate policy: real options, robust decision making, adaptive pathways. It is just as clear that optionality can be wrong. Commitment coordinates people and makes investment possible, and some problems need lock-in on purpose. The skill lies in telling the two apart.
Outside school
Someone takes a job in a new city. The efficient move is to buy. Rent is money gone, and a mortgage builds something. Plenty of people rent for a year anyway. They do not yet know which neighbourhood they will like, how the commute feels in February, or whether the job will last. The extra rent buys a year of learning and the right to leave without selling a house.
That is an option, and it has a price. Arrow and Fisher made the idea formal for environmental decisions: where a choice cannot be undone and you expect to learn, keeping it open has value of its own. Real options work in finance prices the flexibility to defer, expand, switch or abandon. The useful question about the extra rent is what it buys.
There is a plainer version: one-way and two-way doors. Most decisions are two-way. You can walk back through, so make them quickly and lightly. A few are one-way. Selling the old house, moving the children’s school, signing the long contract. Make those slowly and carefully. The common mistake is to treat every door the same, agonising over paint colours and then signing the mortgage in a week.
The renter who never buys has a problem too. Five years of keeping options open is expensive, and it leaves you belonging nowhere. Some commitments are worth making because they are hard to undo: joining the choir, enrolling the children, telling the neighbours you are staying. A commitment others can rely on lets them commit back. The skill is knowing which doors to keep open and which to walk through and close behind you.
The term
Every page follows the same Singapore secondary school through the same semester, Term 1 and Term 2. The school is changing how it assesses, both of learning and for it: fewer weighted assessments, more feedback, and ratings that are meant to say something. The five people and the events of the semester stay fixed. Only the contribution reading them changes.
All five, interconnected
The five threads interleaved across the twelve weeks, so the hand-offs between them are visible. Pick a person to follow their term on its own. The people are illustrative, and the same five appear on every contribution’s page.
Before Term 1
Mr Ravi, in the staffroom
Two years ago a triple-marking policy drove two teachers out of the English department. The policy was withdrawn within a year, and its effect was not: staff hear “every piece of work” in the new plan and remember. Mr Ravi tells a new colleague that a school can take back a policy but not the trust it spent.
Term 1, Week 3
Mrs Lim, with the administration manager
The first ratings go out through the app, and most of Secondary 2 is Developing. The administration manager has built next year’s budget on the three-year tracking contract, because the discount is real. Mrs Lim notices that the saving sits in a spreadsheet and the cost sits nowhere. Nobody has written down what the school gives up by holding every rating in one company’s system until the current Secondary 2 have left.
Term 1, Week 5
Mr Ravi, Secondary 2 science
Mr Ravi starts whole-class feedback in Secondary 2 science, outside the policy, with no announcement. If it fails he can drop it by Friday. His marking time halves and the next lesson starts from the common mistakes. He tells nobody outside the department, so nobody can tell him to stop.
Term 1, Week 6
Mdm Rohani, at 3am on a break
Mdm Rohani reads the class parents’ chat group, where families are signing up for tuition centres that set practice papers. She cannot afford that and does not want to. What keeps her awake is a smaller question: Aisyah’s Developing ratings are stored somewhere, and she has no idea who will read them in two years. She emails the school at 3:40am.
Term 1, Week 10
Mr Ravi and Mrs Lim, at the staff meeting
Staff agree three probes, and English agrees only to the quiz. Mrs Lim frames all three as reversible: try, watch, drop what fails. Mr Ravi says that is exactly why English will not put effort in, not after triple marking. Staff who were let down once want a promise, not a probe.
Term 2, Week 2
Aisyah, in the fortnightly quiz
Aisyah likes the quizzes because they do not count, and she gets the energy question wrong without minding. One class asks for the quizzes to count. Mr Ravi says not yet. A quiz that has counted once is hard to make not count again, because students never sit it the same way.
Term 2, Week 4
Aisyah, after the first checkpoint
Aisyah freezes in the timed English paper and is rated Emerging, after a semester of strong work in class. The rating goes onto the tracking system that afternoon, where her next teacher will see it before meeting her. Mdm Rohani complains through the app. A teacher quietly rates borderline students up to avoid more complaints, and those ratings go onto the system too.
Term 2, Week 5
Ms Tay, reading the newsletter
The dashboard shows 96 per cent of books compliant, and the cluster newsletter cites the school as an exemplar of “feedback culture”. Ms Tay knows nobody in the school trusts the number. She also sees what the praise does: a school named as an exemplar finds it harder to report a lower figure next term. The newsletter has spent one of the school’s options, and nobody at the school was asked.
Term 2, Week 6
Ms Tay, in the cluster superintendent’s office
Three schools ring Ms Tay on the same day about the same offer: a further discount to extend the tracking contract to five years and lock in the five-point scale. Most schools in the cluster bought that system because it matched the cluster’s return, so if they all sign, one company’s pricing fixes the cluster’s scale for five years. Nobody in the office chose a monoculture. It arrived one sensible discount at a time.
Term 2, Week 6
Mrs Lim, before the principal and the finance committee
The finance committee wants the five-year saving, and the saving is real. Mrs Lim takes a one-year extension at a higher price, and tells the principal the difference is the cost of being able to change the scale when the promised guidance on reporting for lower secondary arrives. A member of the finance committee asks what the school gets for the money if the guidance never comes. She does not have a good answer, and the extra comes out of next term’s training budget.
Term 2, Week 8
Mdm Rohani and Mr Ravi, on Saturday morning
The Meet-the-Parents session has a Saturday morning slot, and Mdm Rohani comes for the first time in two years. Mr Ravi shows her Aisyah’s quiz record, and she sees learning the rating did not show. Then she asks whether the quizzes will still be there next year. He says he does not know, and that this is the problem.
Term 2, Week 10
Mrs Lim, the last week
Mrs Lim sorts the semester into what the school can change and what it cannot. The scale parents see is cut to three points, a change the one-year extension left open, but the scale staff see stays at five until the contract’s next review. The first ratings parents read, Aisyah’s Emerging and the exemplar citation cannot be taken back. So she proposes making one thing hard to undo on purpose: a line in next year’s policy that the quizzes are never recorded.
Term 2, Week 10
Ms Tay, drafting her proposal
Ms Tay proposes the cluster stop collecting twice-a-term ratings for a year, and look again once the promised guidance on reporting arrives. Her manager points out that a gap in the series means the cluster can never compare this year with the last. That is true. She thinks it is an option worth spending, though the cluster superintendent’s office still wants the compliance figure.
Optionality let the school see its plan as a set of doors, most of them two-way and a few not. The tracking contract was the door everyone argued about, and the one-year extension kept the parents’ scale open long enough to change it. The doors nobody decided to walk through were the larger ones: ratings already read, a rating already on Aisyah’s record, a school already named as an exemplar. Whether the year the extension bought gets used, or simply ends in the five-year deal next year, is not settled.
Implications
The same five dimensions for all seven contributions. Read them across on the compare page.
From maximising efficiency against a forecast to keeping the capacity to adapt as the future shows itself. Optimisation asks what is best, given a model of the future. Optionality asks what keeps us able to act well across the futures the model cannot see. Both are legitimate. The trouble is that optimisation usually wins, because its gains are visible and immediate, and the value of an option is invisible until the day it is needed.
Complexity supplies the deeper reason. In an adaptive system the future is not only unknown but under construction, partly by our own actions. So the ability to respond to what emerges is often worth more than the saving from committing early. A discount for a five-year contract is a bet that nothing important will change for five years.
Most planning and management disciplines are optimisation disciplines. They strip out slack, duplication and unused options as waste, and when the future holds still they are right to. Strategic thinking assumes goals that stay put. A business case values the expected return on the option chosen and gives the options it closes off a value of zero. Futures thinking imagines several futures but rarely asks what the plan spends that would let you move between them.
Complexity thinking treats some of that waste as adaptive capacity. It asks which options today’s efficiencies are spending, often without anyone deciding to. Single-supplier contracts, monoculture platforms, narrow skill pipelines and lean staffing with no surge capacity are the usual places. None of them looks like a decision when it is made.
It makes the value of flexibility, diversity, redundancy and reversibility visible before the moment it is needed, when it can no longer be bought. In practice it adds three questions to any plan. Which options does this spend? Which commitments are irreversible? Which signposts and triggers will tell us to change course? A business case that has been through it carries option value, reversibility, and a test of whether the choice performs acceptably across several futures, not only the expected one.
It also says when not to keep options open. The optionality grid sorts decisions on two things: how much learning is expected, and how costly delay is. Where learning is likely and delay is cheap, stage, pilot and defer the irreversible parts. Where learning is likely but delay is costly, move now on a pathway that keeps switching routes open. Where little learning is expected, decide on efficiency grounds, and where delay is costly too, commit firmly and consider making the commitment hard to undo.
A habit of sorting decisions by how hard they are to undo. Most of what a school decides in a term can be walked back: a homework rule, a timetable trial, a training format. A few things cannot. A rating sent to every parent, a judgement written onto a student’s record, a public claim the school is then held to. The first kind should be made quickly and changed often. The second deserves slow, explicit decisions with a named owner.
It also asks for the other half of the paradox. Commitment has value. It signals credibility, coordinates others and makes investment possible, and a department that has been let down will not invest in a change it can be told to stop next month. So sometimes the right move is to lock something in on purpose. This is the portfolio side of provisional commitment. A leader who can hold ambiguity but whose school has no options is trapped. A school with options but leaders who need closure will spend them in the first crisis.
Paralysis by optionality. Every decision is kept open, every contract is a pilot, and nothing is ever settled. “Keeping our options open” becomes a polite way of not committing, and the cost falls on the people who needed a decision to plan around. The guardrail is the grid, and a time limit on each stage with a trigger that forces the choice.
The opposite hollowing is quieter. The language of options is used in the meeting while the long contract is signed anyway, because the saving is in this year’s budget and the option value is in nobody’s. An option audit that nobody acts on may be worse than none, because it lets the institution believe it has looked.
Methods
The repertoire for this contribution, with an evidence rating for each method. Strong means tested in more than one field. Emerging means promising, and mostly case studies.
Real options analysis
StrongValues the flexibility to defer, expand, switch or abandon, and uses it to stage investments and price pilots. Well established in finance. In a school it is mostly a disciplined way of asking what a pilot or a shorter contract buys.
Robust decision making
StrongPrefers actions that perform acceptably across many futures to actions that are optimal in one. Established in water and climate policy. It needs a wide range of plausible futures to test against, which is where most school plans are thin.
Adaptive pathways
StrongSequences actions with signposts and triggers, keeping alternative routes open until a tipping point is reached. Built for long-horizon water and infrastructure decisions. The school version is modest: name the signal that would make you switch before you need it.
Option audits
EmergingAsks of any plan which options it spends, and whether anyone decided to spend them. Simple to run and rarely run. There is little evidence yet on whether audits change decisions.
Reversibility classification
EmergingSorts decisions into one-way and two-way doors: reversible ones made quickly and lightly, irreversible ones slowly and carefully. Its weak point is that reversibility is easy to misjudge, especially for data and for trust.
Reading
Start with the first on the list.
Arrow, K. J., & Fisher, A. C. (1974). Environmental preservation, uncertainty, and irreversibility. The Quarterly Journal of Economics, 88(2), 312–319.
Quasi-option value: where a decision is irreversible and learning is expected, keeping it open has value of its own.
Lempert, R. J., Popper, S. W., & Bankes, S. C. (2003). Shaping the next one hundred years: New methods for quantitative, long-term policy analysis. RAND.
Robust decision making, and the case for actions that hold up across many futures rather than the expected one.
Haasnoot, M., Kwakkel, J. H., Walker, W. E., & ter Maat, J. (2013). Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world. Global Environmental Change, 23(2), 485–498.
Adaptive pathways: signposts, triggers and alternative routes kept open until a tipping point.
Sarasvathy, S. D. (2001). Causation and effectuation: Toward a theoretical shift from economic inevitability to entrepreneurial contingency. Academy of Management Review, 26(2), 243–263.
Affordable loss: commit only what you can afford to lose, and let opportunities emerge.
Ghemawat, P. (1991). Commitment: The dynamic of strategy. Free Press.
The other side of the paradox: why credible, hard-to-reverse commitments coordinate others and make investment possible.
Levin, K., Cashore, B., Bernstein, S., & Auld, G. (2012). Overcoming the tragedy of super wicked problems: Constraining our future selves to ameliorate global climate change. Policy Sciences, 45(2), 123–152.
The argument that some problems call for deliberate lock-in, policies designed to constrain our future selves.