Finding direction
When should I combine parts of different options instead of picking one?
Combine parts when they serve the same objective, each retained part clears your non-negotiable constraints, the parts can work together, and the combined burden remains acceptable. Do not combine merely because two options tie or because compromise feels fair. Write the hybrid as a new, complete option; name what it includes and excludes, check dependencies and interactions, estimate its total effort, cost, risk, and uncertainty, and compare it again against the original options. If the parts conflict, duplicate burden, or weaken the objective, keep them separate.
Treat the combination as a new option
A useful hybrid is not simply option A plus option B. It is a newly designed option with its own scope, dependencies, effort, risks, and trade-offs. Combine only the parts that still serve the same stated objective and clear the same non-negotiable conditions. Then compare the complete hybrid with the original choices instead of assuming that taking something from each must be better.
The 2026 Green Book's options framework filter breaks viable options into component choices, rejects components that fail critical success factors, and recombines the remaining green- and amber-rated choices into complete alternatives. That is formal public-policy guidance. The proportionate low-stakes transfer is to filter components before combining them and to evaluate the result as another candidate, not as a guaranteed best answer.
Run the PARTS check
PARTS is a Forever Free Compass framework, not an external research finding. Write one line for each letter before adding a hybrid to your shortlist.
- Purpose shared: state the one objective the hybrid is meant to serve. If the parts aim at different outcomes, split the decisions or rewrite the objective before combining.
- Acceptable parts: remove any component that fails a hard constraint, required consent, safety boundary, deadline, or minimum condition. A strong feature cannot rescue an unacceptable component.
- Relationships tested: note whether the parts depend on, conflict with, duplicate, or change one another. Name the assumptions behind any claimed fit.
- Total load counted: estimate the combined time, money, attention, coordination, risk, and opportunity cost. Do not add the benefits while hiding the cumulative burden.
- Score anew: describe the hybrid as a complete option and compare it against the same objective, criteria, baseline, time horizon, and uncertainty as every other option.
Know the signals for combining or staying separate
The University of Minnesota Extension criteria-grid method suggests considering whether tied options can both be used or combined into a new 'mega-option.' A tie can therefore prompt option generation, but it is not proof that the combination is workable. Government analysis guidance adds that options should be assessed against defined criteria, while context and uncertainty are considered holistically and confidence remains balanced.
Use those disciplines to test the whole design rather than averaging away a conflict.
| Signal | Combine when | Keep separate when |
|---|---|---|
| Objective | Both parts advance the same stated outcome | Each part answers a different decision |
| Constraints | Every retained part clears the minimum conditions | One part breaches a non-negotiable boundary |
| Interaction | The parts are compatible or deliberately sequenced | They compete for the same resource or undermine one another |
| Burden | The full load remains proportionate and feasible | Costs, attention, risk, or coordination compound beyond the limit |
| Evidence | Key assumptions and uncertainties are visible | The apparent fit relies on an unexamined dependency |
| Comparison | The hybrid still performs well when scored as a whole | Its appeal disappears once omissions and trade-offs are counted |
Compare the complete hybrid again
The Green Book's supplementary MCDA guidance describes component choices as building blocks for complete alternatives and keeps transparent records of criteria, evidence, assumptions, and trade-offs. It also distinguishes robust trade-off analysis from simple scoring that can hide what changes between options.
For an ordinary choice, make the same logic visible in a compact comparison. Give the hybrid a name, list its included and excluded parts, identify sequencing or dependencies, and rate the full package. If changing one assumption or criterion makes the hybrid lose its advantage, record that sensitivity rather than presenting the result as certain.
Use a proportionate boundary
For a low-stakes, reversible decision, PARTS can fit on one card. Add detail only where an interaction or assumption could change the choice. You may also sequence compatible parts rather than running them together when that lowers load or creates a useful review point.
Do not use a personal hybrid-option check to combine incompatible obligations, bypass another person's consent or rights, dilute a safety requirement, or improvise around legal, financial, clinical, employment, housing, or technical duties. In those cases, keep the relevant boundary outside the score and seek qualified guidance.
Original contribution
The Forever Free Compass take
Forever Free Compass uses PARTS as an original low-stakes hybrid-option check: Purpose shared, Acceptable parts, Relationships tested, Total load counted, and Score anew. PARTS treats a combination as a distinct option that must be described and compared in full; it is not evidence that compromise is superior, a validated decision method, or a substitute for consent, safety, legal, financial, clinical, technical, or professional review.
Sources
- The Green Book (2026) — HM Treasury. Broad option generation; critical success factors; component choices; red, amber, and green filtering; recombining viable components; explicit rationale and proportionate analysis.
- Government functional standard GovS 010: Analysis — UK Government Analysis Function. Defined decision criteria; holistic context; boundaries and assumptions; uncertainty; proportionate analysis; balanced confidence.
- Decision making techniques - criteria grid — University of Minnesota Extension. Criteria-grid construction; consistent comparison; using or combining tied options as a prompt to generate a new option.
- Use of Multi-Criteria Decision Analysis in options appraisal of economic cases — HM Treasury. Component choices as building blocks; filtering against critical success factors; complete alternative options; transparent trade-offs, assumptions, and sensitivity.
This is educational reflection, not medical or mental-health care. If distress is persistent, severe, or involves immediate safety, contact a qualified professional or local emergency service.