How Doughsense Projections Work
A plain-English look at the projection engine, the Monte Carlo method, and the UK tax modelling behind your plan, including what it does and does not cover.
4 min read
Good financial planning should not be a black box. If a tool tells you that you can retire at 58, you deserve to know how it reached that number, what it assumed, and where it stops being certain. This page explains how Doughsense projects your finances, how the Monte Carlo simulation works, and what the UK tax modelling covers. It is also honest about the edges: the places where the model simplifies, and the things it deliberately does not do.
The projection engine
A projection is a month-by-month model of your financial future. Doughsense takes your accounts, assets, liabilities, income, and expenses, then rolls them forward through time using the assumptions you set:
- Growth rates on each asset, so investments and savings compound at rates you choose.
- Inflation, applied so that future pounds are shown in terms you can reason about.
- Contributions and withdrawals, including one-off events and recurring cash flow.
- Interest and repayment on liabilities, including promotional credit-card segments.
Because the assumptions are yours, the projection is not a fixed forecast handed down from on high. It is a model you can interrogate and change. Adjust a growth rate or a monthly contribution and the whole timeline recomputes, so you can see the effect of a decision before you make it.
Doughsense projects at monthly granularity for the long term, with finer cash-flow detail for the near term. The point is not to predict the future to the penny. It is to give you a defensible, adjustable baseline for the decisions in front of you.
Monte Carlo: modelling uncertainty honestly
A single projection line assumes markets deliver the same return every year. Real markets do not. Some years are strong, some are brutal, and the order in which good and bad years arrive matters, especially near retirement. Monte Carlo simulation is how Doughsense shows that uncertainty instead of hiding it.
Here is the method, stated plainly:
- Doughsense uses a block bootstrap over historical market data. Rather than assuming a smooth average return, it stitches together five-year blocks drawn from history, preserving the runs of good and bad years that real markets produce.
- The historical series is the S&P 500 total return and US CPI, covering 1928 to 2024.
- It runs 250 trials, each a different plausible path for your plan, and reports how many of them reach your milestone.
The result is a confidence figure attached to a milestone: not "you will retire at 58" but "in this many of 250 historical paths, your plan held up." A "run out of money" risk event flags paths where the plan fails. That is a more honest picture than a single reassuring line.
Monte Carlo confidence is a range of outcomes, not a single success score. A high number is encouraging, but the value is in seeing the spread and the failure cases, not in treating one percentage as a guarantee.
An honest limitation
The Monte Carlo engine currently samples from US market history (the S&P 500 and US CPI). That history is long, high quality, and widely used for this kind of modelling, which is why it is a sensible starting point. But Doughsense is a UK-native planner, and US equity and inflation history is not a perfect stand-in for a UK investor's experience. We would rather tell you that plainly than pretend the distinction does not exist. Use the confidence figures as a guide to the shape and spread of risk, not as a UK-specific guarantee.
UK tax modelling
Projections that ignore tax drift away from reality quickly. Doughsense models the UK tax wrappers that matter most for long-term planning:
- ISA and LISA contributions and their allowances.
- Pensions, with marginal-rate relief applied to contributions.
- Tax-aware planning in the solver, so suggestions account for the tax treatment of the money involved.
Tracking wrapper allowances keeps your projections realistic: contributions cap where they should, and tax treatment is applied rather than assumed away.
What the tax model does not cover
Depth matters, so it is worth being clear about the ceiling. Doughsense is not a full financial-adviser tax engine. It does not model defined-benefit pension mechanics, flexi-access drawdown rules such as MPAA or the fine detail of UFPLS and PCLS withdrawals, inheritance tax and estate planning, offshore bonds, EIS or VCT investments, or trusts. Household and partner tax modelling is not yet part of the product either, precisely because confidently-wrong household tax arithmetic is exactly the failure this kind of tool should avoid.
If your plan hinges on any of those, treat Doughsense as one input rather than the last word, and take professional advice for the specialist parts.
Why we publish this
Transparency is the point. The people who plan carefully tend to distrust tools that hand over a number with no working shown, and they are right to. Publishing the method, the data behind it, and its limits is how a projection earns trust. If something here is unclear or you think we have a detail wrong, tell us: hello@doughsense.com/a>.