Define the situation randomness changes
NovelToGame connects state, choice and rules to results. Its numeric method requires reachable goals rather than luck repairing a budget hole. Randomness is optional; knowledge-led stories can be deterministic.
Original example: players operate a ferry carrying villagers home. Wind varies by evening and changes travel time on two routes. Before leaving, players can read a wind flag and fuel level. Randomness changes route judgment rather than arbitrarily deciding survival.
Do not randomize crucial testimony merely to make a fixed story seem game-like. Establish actions and consequences first, then ask whether variation creates useful reconsideration.
Compare choices in two real situations
| Situation | Route comparison |
|---|---|
| Weak wind, urgent passenger | Visible: Calm flag; enough fuel. Direct: Faster. Sheltered: Slower |
| Strong wind, little fuel | Visible: Tight flag; insufficient fuel for resistance. Direct: Unsuitable for this budget. Sheltered: Safer but requires explaining delay |
These are example rules, not universal odds or multipliers. Calculate both routes using the project’s actual values and confirm that the situation changes the suitable choice.
New information after departure can work if players retain a response. A rule discovered only through failure, with no way to adapt, creates unintelligible punishment.
Complete calculation: one task, two wind conditions
This is a paper rule example using the established ferry, not a run of a real game. Departure is at 18:00; the passenger has arranged to meet family at 18:12. The flag reveals wind before departure and this crossing does not draw it again. Costs and durations are chosen example rules.
- Weak wind, six fuel initially: direct costs two and takes ten minutes; sheltered costs three and takes fifteen. After seeing the flag and both budgets, the player chooses direct. Fuel becomes 6−2 = 4; arrival is 18:10. The passenger disembarks before the appointment, but a meeting with family has not been shown.
- Strong wind, four fuel initially: direct requires five and takes twelve minutes; sheltered costs three and takes fifteen. The player selects “Take the sheltered route; arrive about 18:15.” The passenger replies, “Understood. I’ll be late.” This does not change the family’s appointment. Fuel becomes 4−3 = 1 and arrival is 18:15. Transport succeeds, but the 18:12 target does not; later scenes may respond to that lateness.
- Counterexample from the same strong-wind start: force the direct route. A pre-departure check refuses it: “Four fuel available; five needed. You can choose sheltered.” The ferry stays at its original bank, time remains 18:00 and fuel four. Do not deduct into a negative balance or randomly supply fuel to make the invalid choice succeed.
Direct meets the urgency under weak wind; strong wind requires a fresh budget judgment. Sheltered is not universally best. If the project wants an on-time strong-wind option, revise supply, route or task arrangement as a new design rather than silently making fifteen minutes twelve in the result.
In an implementation, compare strategies from the same initial state and wind, then vary representative conditions. Reproducible calculation checks rules and feedback. Whether players care about lateness or enjoy the choice requires observation in the actual candidate.
Do not make required goals depend on luck
Check the worst allowed situation: is there an understandable action, exit or restart? If a required passenger can travel only after a rare fuel draw, repair resource supply, thresholds or scope rather than calling repeated attempts strategy.
Events may raise cost, strain a relationship or delay a goal. Connect consequences to something players care about, such as a missed appointment, and make their control visible.
Do not introduce a random rescuer who completes the unresolved handoff at the ending. Read the route, promises and actual actions in the result.
Control comparisons without claiming fun
Compare strategies with the same initial state, rules version and seed so one does not receive calm weather while the other receives strong wind. Record consequential random events for reproducible state and order.
Then vary representative conditions. Check for universally dominant strategies, choices converging to the same result and feedback that teaches nothing. Repair existing rules before inventing a system per weather condition.
Replay proves reproducibility, not replay appeal or long-term balance. Observe those in actual builds and player feedback.
FAQ
Does a text game need random checks?
No. Comparing evidence, judging people and managing promises can already create decisions. Add randomness when variation meaningfully changes the player’s method.
Do it with the skill
Ask game-world-design to identify affected states, visible information and representative paths. Keep required goals reachable without luck and control initial state and seed in comparisons.
Read the method: World rules and representative decisions · Reachability and random comparisons