A new formula is not always a minor change

In a financial model, changing one coefficient can affect several independent obligations. For example, changing reward accrual rules affects user incentives, the rate at which resources are consumed, payout volumes and projected cash flows.

An approved change to a mechanism should therefore not automatically be treated as safe for the entire economy.

In projects involving tokenomics, in-game resources and mandatory payouts, I treat changes as separate decisions to be verified, rather than cosmetic parameter adjustments.

Start by classifying the change

First, identify exactly what is changing.

A parameter within existing rules. For example, the permitted range of an already agreed constraint. Recalculation and regression checks may be sufficient.

An economic rule. A reward formula, access condition or payout sequence changes. Related requirements and user scenarios must be reviewed.

A business obligation. A guarantee, limit or principle of fund allocation changes. This is a client decision, not something to resolve through technical optimisation.

The classification determines the scope of approval and repeated checks.

An impact map: what the new rule affects

Before making a change, it helps to map dependencies. For each rule, record input parameters, related mechanisms, financial metrics, user scenarios and acceptance criteria.

For example, reducing a reward may lower payout costs. But it may also change player activity, retention and the appeal of paid features. If the model does not describe those behavioural responses, the economic improvement is conditional.

Such a result cannot be presented as proven improvement in sustainability: it follows only from the chosen assumptions.

Requirements versions matter more than code versions

An application version identifies the code being run. It does not always explain why the financial result changed.

A reproducible investigation needs a linked set of records:

  • the version of economic requirements;
  • the configuration version;
  • the calculation engine version;
  • the scenario set and random seeds, where applicable;
  • acceptance criteria;
  • saved results and their checksums.

Comparing two configurations with different rules while retaining the original criteria can produce an attractive but invalid conclusion.

Which checks to repeat

The scope of a repeat audit depends on the dependencies affected. At a minimum, verify that the new logic is correctly implemented, preserves invariants and does not break previously working scenarios.

Next, run financial calculations over agreed time horizons under comparable conditions. Where random events are involved, use repeated runs with recorded initial states and assess the spread of results.

Check edge cases separately: insufficient funds, zero activity, high churn, maximum payout pressure and combinations of adverse factors.

It is also important to recalculate metrics affected indirectly, not just the metric the change was intended to improve.

Who approves a change

A developer can identify a problem, propose an alternative and show the consequences. But changes to fundamental financial terms must be approved by the product owner.

A transparent decision record is sufficient: the original requirement, proposed replacement, expected effect, known limitations, affected acceptance criteria and approval status.

If the available data cannot establish how a change affects user behaviour, that uncertainty must be stated explicitly.

The FIGHTEX context

The FIGHTEX investigation tested variants of individual economic mechanisms. After a series of repeat runs, no options met the established criteria, and further optimisation using the same mechanisms was stopped.

The next direction was to investigate changes to the economic design. Permission to conduct that research does not mean new rules have already been approved or their economic effectiveness demonstrated.

Change control is especially important at this boundary: a research option must be distinguished from an agreed new specification.

Conclusion

Changing an economic model is simultaneously an engineering, financial and product task. Without rechecking requirements, an improvement in one metric can conceal a violation of another.

A reliable change process preserves the link between the business decision, model version, calculations and acceptance criteria.

Frequently asked questions

Does every coefficient change require a full audit?

The scope depends on the impact. A parameter change within an agreed range may only need recalculation and regression checks; changes to rules or obligations require a review of related requirements.

What records are needed to compare model versions?

Requirements, configuration and engine versions; scenarios; random seeds where applicable; acceptance criteria; and results with checksums.

Who approves changes to financial obligations?

The product owner. The developer proposes alternatives and explains consequences, but fundamental financial terms cannot be changed solely for technical optimisation.