Craig Stanley
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Every method on this site, on one page

An index of the reusable methods on this site, in the order I'd use them, with one line on what each does and a link to the full explanation.

· 4 min read · Craig Stanley
In short, explained

This page is a list of all the tools on the site, like a box of tools with labels. Each label says what the tool is for, so you can pick the right one.

The site has grown into a set of small methods: templates, scales, rules and checks. This page lists them in the order I'd use them on a real decision, from mapping the work to reviewing the result, with a one-line summary and a link to each.

Index of methods by stage: work mapping, decision framing, quantification, risk, cost, capture and review. Each links to a page with purpose, inputs, steps, a worked example and known limits. Use as a checklist when designing AI support for a decision.

How to use this page

Each row is one method. They're grouped by stage, in the order I'd use them on a real decision. You don't need all of them. For a small decision, the framing questions and a decision record may be enough. For an agent that will make thousands of decisions a month, most of the list applies.

How each method page is laid out is explained in How the method library works.

Map the work

MethodWhat it does
Map the work, then the decisionsFive steps from a public job profile to a list of decisions
Reading an O*NET occupationHow to use O*NET as a starting task list
ESCO occupations and skills in practiceThe European equivalent, and how to use it
The decision inventory templateOne row per decision with volume, time, stakes and reversibility
Frequency, stakes, reversibility: a scoring guideShared 1 to 5 scales so people score alike
What your approval logs already knowVolume, wait time and consistency from approval records
Ticket logs as a map of decisionsChange rates as clues to where decisions go wrong

Frame the decision

MethodWhat it does
Five questions before any decisionWhat, why, when, how and who, before anything else
Save money, make money, look after peopleNames the goal so success can be measured
Four jobs AI tools do for a decisionMatches the part of a decision to the right kind of tool

Put numbers on it

MethodWhat it does
Expected value on one pageCompares options by probability times value
When is more information worth paying for?Decides whether to gather more before choosing
Setting a threshold you can defendCost of a wrong yes ÷ (wrong yes + wrong no)
Act, ask a person, or stopThree routes for every case a model scores
Calibration: are your 80% calls right 80% of the time?Checks whether stated confidence matches results

Check the risk

MethodWhat it does
Start a risk register from the decision inventoryFive questions per decision row
Five risk typesData, decision, people, supplier, cost
Mapping risk to work activitiesA grid of activities against risk types
Likelihood, impact and reversibility on one sheetPriority score that lifts hard-to-undo, slow-to-spot errors
Controls people actually keepFour tests for a lasting control
Review dates that happenCalendar dates plus event triggers
A nudge is a small decision tooSets alert limits with the threshold method

Check the cost

MethodWhat it does
Cost per decisionThe unit cost to track first
Forecasting Copilot Credits from decision volumesVolume × credits per decision
Forecasting AI spend as a rangeLow, likely and high cases
Seat licence or Copilot Credits: the break-evenWhen a licence beats pay-as-you-go
The 20-minute weekly review agendaA short, regular look at spend and value

Record and review

MethodWhat it does
The decision record schemaTen fields written at the time of deciding
A 30-second capture in TeamsThe five fields that can't be added later
Outcome biasJudges the decision separately from the luck

A worked example

This example is illustrative. A team wants an agent to suggest whether supplier invoices can be paid without a query. Using the list: the inventory shows 900 invoices a month at 4 minutes each; the scoring guide rates stakes 3 and reversibility 2 with a three-day payment window; the threshold method gives a cut-off from the cost of a wrong payment and a wrong query; the risk sheet puts it mid-table; the credit forecast puts it at a few hundred pounds a month; and every change to the threshold gets a 30-second capture.

What I'm still checking

Some methods overlap, especially the risk register and the risk map. I'm keeping both for now because they answer different questions, but I'd like feedback on whether the list is easier to use shorter.

Sources

This page indexes methods on this site and uses no external facts or figures.

Read next

A question to take awayWhich repeated decision would you trust a cheap model to score first, with a person checking the close calls?

About me

Craig Stanley

Microsoft AI consultant and technical architect, based in Whitley Bay. Over the last few years I've delivered Microsoft 365 Copilot, Copilot Studio agents, Microsoft Foundry (formerly Azure AI Foundry) work and governance for UK public sector and financial services organisations.

What interests me is the decision underneath the tool: what it costs, what it risks, and whether a small, transparent model can make it better. I write the methods up here and on Substack so anyone can use them.

I write this site to learn in public: explaining each idea simply is how I check I understand it. Why I write this site.

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