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How Xybernetex works

A guide to the Decision Lab, with screenshots. Updated October 26, 2026.

The short version

  • You describe a decision in plain words. The AI drafts the structure and the numbers; you check and correct them; code does all the math.
  • The live decision shows which option leads and how sure that is, across 2,000 plausible versions of the future, and updates as you change anything.
  • Every number shows where it came from. Claims made by other parties (a vendor's quote, a contractor's timeline) are treated as optimistic until you verify them.
  • Every change is a numbered version you can undo. Nothing the AI suggests changes your model until you accept it.
  • The Lab asks you one question at a time about where your thinking is thinnest, and can take a decision into a meeting room in full screen.
  • When you're ready, you record the decision, have it signed off and sealed, and check in later on how it turned out. The Lab learns from those check-ins.

How Xybernetex works

Xybernetex is built on one rule: AI drafts, you approve, math decides. Each part does the job it's good at.

AI draftsReads your writing and documents, drafts the options, criteria and formulas, asks pointed questions, and writes up documents.
You approveEvery number the AI proposes is shown with its source. Nothing it suggests takes effect until you accept it.
Math decidesCode computes every result, runs the simulation, checks your hard limits and verifies the record. The AI never does the arithmetic.

Behind the answer is a model: the numbers your decision rests on (costs, timelines, chances, scores) and the formulas that combine them for each option. Because most of those numbers are uncertain, the Lab doesn't compute one answer. It computes 2,000. Each plausible world draws every uncertain number from its realistic range, and the Lab counts how often each option comes out best and how often it breaks one of your hard limits.

Two safeguards keep this honest:

Getting started

There are two ways in. Both end up in the same place.

The Wizard: answer a few questions

The Decision Wizard: a box asking What are you deciding?, with example questions underneath
The Wizard. Type your question the way you'd ask a friend, or start from an example.
  1. Type your question, for example “Which vendor should we hire for our software migration?”. Attach any proposals or reports with +; mark each as theirs (another party's claims) or mine.
  2. Answer one short question per screen: your options, what matters, any hard limits, the numbers you know, your gut lean and what you're least sure about. Anything your question already said is filled in for you to confirm.
  3. Choose Quick (about a minute: the numbers and a first read) or Thorough (a few minutes, adding the four analysts) under Options.
  4. Read the result, then Open in advanced mode to keep working on it in the Lab.

The Lab: write it out yourself

Open the Lab and choose + New decision. Write a few paragraphs about the decision: what you're choosing between, what matters, any limits, and what you're unsure about. The Lab reads it as you write.

New here? Try a practice decision. On the Wizard’s first screen, New here? Try a practice decision opens an editable copy of an example (choosing an ERP implementation partner) with a short guide: change one number, answer the question the lab asks, ask the vendor, and open meeting mode. It takes about three minutes and needs nothing set up. Every account also has the same decision finished and sealed (“Or explore a finished, sealed decision first”), with its approvals and audit trail.

Home

Opening the Lab takes you to Home: every decision you can open, and what each one needs from you. Use the Home button at the top to come back to it at any time.

Home: groups called Needs you, Waiting on others and Evidence to gather, then a table of all decisions
Home, grouped by what needs doing. Open takes you straight to the right place in the decision.
GroupWhat shows up there
Needs youA sign-off requested from you (or your interests to declare first), your scores in an open scoring round, updates proposed from your writing or a revised document, or a decision everyone has signed that's ready to seal.
Check-ins dueA recorded decision whose check-in date has come: how did it turn out?
Changed since the analysisThe analysts' report was made on an earlier version of the model.
Waiting on othersA clarification request you sent a vendor that hasn't been answered yet (see Ask the vendor).
Evidence to gatherAssumptions nobody has tested yet, or ones the evidence contradicts (before you've decided).
Ready to decideThe analysis is up to date and nothing is recorded yet.

Below the groups, All decisions lists each one with its stage (forming, working, in review, decided, sealed), its current answer, its version and when it last changed.

Since you were last here

When you come back to a decision after being away for at least half an hour, a short note at the top of the live decision tells you where things stand:

Since you were last here, 2 days ago: what changed, who you're still waiting on, and where to pick up

Close it with ×. Opening a decision doesn't count as changing it, so Last change on Home stays accurate.

The Lab at a glance

The Lab: the writing on the left, the analysis on the right with the live decision card at the top
Your writing on the left; the analysis on the right, led by the live decision.

Writing your decision

As you write, the Lab picks out the structure of your decision and shows it in cards on the right. Everything it finds can be corrected.

The Options card with two options, one marked as your lean
Options found in your writing. The star marks your lean; dwells here shows the option your writing spends most time on.
Hard limits card with a budget limit and a go-live limit, each with a number box

When the Lab can analyse it. A decision needs a description (about 50 words), at least two options and at least two things that matter. Hard limits and assumptions are recommended. Tags on each card show what's still missing. Once the decision is formed, the numbers are built automatically.

Your lean vs. your writing. What you say you lean toward and what your writing dwells on can differ. The Lab shows both, because what we write most about is often what we know best, not the better path.

The live decision

The live decision card: Northbridge Consulting leads at 66%, with a work box and a six-part quality bar
The leader, how often it's best across 2,000 plausible worlds, and why. The bar underneath is the quality of the decision so far.

The card at the top of the analysis is always current. It shows:

Directly below it, What would change your mind (or How solid it is, when nothing plausible would) names the number closest to flipping the answer. Use That number's wrong to talk it through, or Check it to research it.

How solid it is: nothing you're unsure about is close to changing this

One question at a time

Under the answer, the Lab asks the single question most worth thinking about now, chosen by code from what your decision is missing or most sensitive to, with the reason underneath. Answer it in a sentence or a click, and the answer lands where it belongs; then the next question comes.

A question for you: Keystone Digital says their go-live timeline is 38 weeks. Do you have more than their word for it?
WhenThe questionYour answer
A figure a hard limit needs is missing“There's no figure for Elm that ‘Cost within budget’ needs. Can you get one?”Add the figure as an input
No hard limits yet“Is anything off the table? A budget, a deadline, a line you won't cross.”Adds a hard limit
No lean“Before the numbers: which way are you leaning?” (or, once the numbers are showing, “Setting the numbers aside: which would your gut pick?”)Sets your lean
A vendor's claim the answer depends on“Keystone says their go-live timeline is 38 weeks. Do you have more than their word for it?”Yes: I've verified it, or No: ask them
An unknown the answer is sensitive to“What's the lowest and highest it could realistically be?”Sets its range (a version you can undo)
Two options are close“It's close. What matters here that the model doesn't count?”Adds something that matters
You have a lean“What would make you walk away from Northbridge?”A sentence in your writing
An assumption nobody has tested“How would you find out if it's wrong?”A note in your writing, or Research it

skip moves on. Questions you've answered or skipped don't come back; new ones appear as the decision changes. The questions are written by code from your own numbers, so they're instant and always about this decision.

Argue the other side

It's easy to stop looking once an option leads. Argue the other side, beside the answer, makes the strongest honest case for the option that isn't the answer, worked out by code from the same numbers and the same simulated worlds. No AI writes it, so every figure in it is one the Lab computed.

The case for Keystone Digital: ahead on the numbers as stated, but its go-live timeline has to stay at or under 40 weeks, and it's over that in about 30% of plausible worlds

The condition to check first is marked. Each one has a next step: Ask the vendor whose claim it rests on, or Try the value as a what-if and watch the answer. With more than two options, pick which one to argue for. It follows the what-if on screen and changes nothing, so it works on a sealed decision too.

Design a better option

Options often lose on what they claim, not what they are: a vendor's timeline that could run past your deadline, a price that breaks the budget in some plausible worlds. Design a better option, beside the answer (or Design the terms that would make it win at the end of an argument), works out the terms that would fix that, by code: commitments on each option's own figures, at the value your limits need.

Design a better option: Keystone Digital on proposed terms, go-live no more than 40 weeks in writing, would be the answer

Work on this decision

The box in the live decision card takes requests in plain words. It works out what you mean and shows it to you as something concrete before anything changes.

A request turned into a proposal: Change Keystone blended rate: $165/hour → $198/hour, with buttons Try it as a scenario, Apply to the model, Never mind
A change becomes a proposal. Try it as a scenario first, or apply it to the model.
You typeWhat happens
“Move the deadline to 9 weeks”A proposal, “Change Deadline: 12 weeks → 9 weeks”, with Try it as a scenario or Apply to the model.
“Add a third vendor, Corvid”“Add the option Corvid”, with Add it. Dropping an option, limit or criterion works the same way.
“Why does Atlas win?”An answer written from the computed facts. Nothing in the model changes.
“Research typical overruns”Opens Research with that question.
“Email Keystone about their timeline”Opens Ask the vendor for that party.
“Have the analysts look again”Starts (or refreshes) Stress it.
A question answered: what would make Northbridge the better choice
A question gets an answer only: “nothing in the model changed”.

An answer belongs to the numbers it was written from: if you change something afterwards, it's labelled Answered before your last change, with Ask again.

Two rules keep this safe. A changed number must be one you typed (the AI can't invent a value), and it must be for an input that exists in the model. If your question assumes something the numbers contradict, such as asking why an option wins when no option passes your limits, the answer says so first.

The numbers

The The numbers card is where the model lives. It's built from your writing and documents the first time your decision is ready, and you can see and change every part of it.

The numbers card: by the numbers Keystone, but once uncertainty is included Keystone breaks a hard limit in 35% of worlds; the safer choice is Northbridge
The plain calculation, then the same decision across 2,000 plausible worlds. Here the cheaper option breaks a hard limit in 35% of them.

Scored on your criteria

Most decisions are scored on the things you said matter. Each option gets a 0–10 score on each criterion, weighted by how much it matters to you:

A grid of criteria by options, with weights and 0–10 scores; two cells are marked measured
Measured scores are computed from your numbers (a cost criterion from each option's actual cost). The rest are judgements the AI drafted from your writing; hover for its reason, and change any of them.

What's worth checking

Claims worth verifying before you sign, and what it hinges on
Which unknowns could change the choice, and by how much. What it hinges on lists the exact values that would flip the answer.

Your risk attitude

Set your risk attitude asks two questions once, and they apply to every decision: how you'd value a risky bet (for money outcomes), and what chance of breaking a hard limit you'll accept (5% by default). Options above that chance are screened out before the best is picked.

Where each number came from

BadgeMeaning
✓ tracedThe exact quote is in your writing or a document.
derivedWorked out from quoted figures.
assumedAn estimate. It's given a range, and the simulation treats it as uncertain.
untraceableThe AI cited a quote that isn't there. Treat it as a guess.
fact / claim / verifiedWhether it's your own figure, another party's claim, or a claim you've confirmed. Claims are widened against the party making them (a vendor's timeline is assumed to run long) until you click Mark verified.

Rebuilding and locking the model

The decision record

Download record saves everything behind the answer (your text, every number and its source, the formulas, your risk settings, the code version) in one file. Verify now recomputes the answer from that file alone, and must get the identical result. Anyone can check a saved record with Verify a saved record….

When a figure is missing

Every hard limit is checked for every option, and the result is one of three: it passes, it breaks, or the Lab can't tell, because the figure the limit needs doesn't exist for that option yet (a vendor hasn't sent a quote, say). Can't tell is never treated as a pass.

Vendor Birch leads; can't tell yet: Vendor Elm has no figure for the budget limit; a question asks for the figure
Elm delivers sooner, but it has no price, so it can't be checked against the budget cap. Birch is the best option known to pass every limit.
The numbers card: by the numbers Vendor Birch, the best option known to pass every limit; can't tell yet for Vendor Elm

What-ifs and scenarios

Every number in the model is a live what-if: change it and the whole analysis recomputes instantly, without changing your model. The numbers you're trying form a scenario.

A scenario: Keystone go-live timeline 38 → 49.4 weeks; Keystone now breaks the go-live limit; a comparison table of the model and the scenario
Trying a scenario. The three-line note says what changed and what it did; the comparison shows the model and the scenario side by side.

Scenarios stay with the decision, so you can leave and come back, or switch views, without losing them.

Predict, then see

Turn on Predict first (in the live decision's header, or in meeting mode) and a change you make waits for your guess before it shows its effect:

Before you see it: which way does this move the answer? Toward Northbridge, toward Keystone, no change, or just show me

Pick a direction (or just show me), and the answer moves, with your guess on top:

You said: toward Northbridge Consulting. Right. Your instinct has matched the model 1 of 1 times on this decision.

Adding and removing inputs

The model's inputs are listed under Other inputs. Edit any value to try a what-if. Inputs that no formula uses are labelled not used in any formula, since they can't change the answer.

The list of other inputs, each with its value, unit, source badges and a remove button

Taking an input out

Click × next to an input. Before anything changes, the Lab shows each formula as it will read without it:

Take out Legacy support penalty? These formulas change, with the formulas after

Adding your own

+ Add an input takes a name, a value and a unit, and how it counts: it adds to, subtracts from or multiplies one of the model's figures, for every option or for one.

Add an input form: Data migration contractor, 85000 dollars, adds to cash needed for every option

Both are new versions you can undo, and both survive rebuilding the model.

Documents and revised proposals

Attach proposals, contracts or reports under Sources (PDF, Word, text, Markdown or CSV, up to 15 MB). For each, say whose it is:

Every number the Lab uses from a document is quoted, and code checks the quote is really there.

Sources: two proposals, the second at version 2, each with a Revise link

When a revised proposal arrives

Click Revise on the document and choose the new file. It takes the old one's place (same S-number, so everything quoted from it still points to the right document), and the earlier version is kept in its history and on the audit trail.

What the new version says differently: four numbers changed, each with the new and old sentence
Code lines up the sentences of the old and new versions and shows each number that changed, with the old wording underneath.

Every input quoted from that document is then looked up again. Where the wording changed, you get a proposed new value with the new quote; where a sentence is gone, the input is flagged. Nothing changes until you accept each one:

Updates from your documents and writing: Keystone blended rate is now $179/hour (the model has $165/hour), with Accept and Dismiss

New figures in a revised document (a new fee, say) appear in the “what changed” list but aren't added automatically. Add them with + Add an input, or run Check my writing for updates.

Ask the vendor

When your decision rests on another party's claims, the Lab drafts the clarification request for you. Open it from Ask next to a vendor's document under Sources, from ask … next to a claim worth verifying, or by typing “email Keystone about their timeline” in the work box.

Ask the vendor: two questions chosen by code, with why, and an email drafted around them
  1. Code chooses the questions, with why: a commitment where the answer flips (“Can you commit, in the contract, to a go-live of no more than 40 weeks?”), confirmation where pinning a figure down could change the choice, and a plain statement where their document doesn't state it. Untick any you don't want.
  2. The AI writes the email around them. Code checks every question is still in it and that it adds no numbers of its own; if not, a plain version written by code is used.
  3. You send it yourself. Edit anything, then Copy it or Open in my email. Nothing is ever sent from the Lab.
  4. I sent it: mark as sent puts it on the record. The document shows asked · waiting, and Home lists it under Waiting on others.
  5. When their answer arrives, attach the new proposal with Revise on their document: the request is marked answered and the figures that changed are proposed as updates. If they answered some other way, use mark answered.

Discuss the model

Discuss the model opens an analyst that questions your numbers, one pointed question at a time, starting with what the answer is most sensitive to.

The Discuss panel asking how confident you are in a vendor's timeline

Research

The Research button (and Check it or research it links throughout) looks up outside evidence: base rates, benchmarks, typical overruns.

The Research window: what do you want to find out, and suggestions picked from your numbers
  1. Ask. Type a question, or pick one of the suggestions chosen from your numbers. Optionally say which of your numbers it's about.
  2. Check the searches. The AI writes two or three web searches. You can edit them, and option and company names are removed before sending unless you untick it. The cost is shown before anything is sent.
  3. Read the findings. Each figure comes with its quote, site and date; code drops any figure whose quote isn't on the page, and sets aside companies' claims about themselves.
  4. Use it. Use this range updates the number's realistic range. Attach findings as a source keeps them as a document. For an assumption, record whether the evidence supports it, contradicts it, or is unclear.

Assumptions

The Assumptions card with one assumption, proposals are trustworthy

Assumptions are what you're taking for granted. Once there are numbers, Link to my numbers connects each assumption to the inputs it's about, and the card ranks them by what testing them is worth: whether being wrong could change the answer, and by how much. Use research it to test one, then record the verdict: ✓ supported, ✕ contradicted or ? unclear.

The criteria lock

Lock what matters before you read the proposals. Lock criteria commits your criteria, how much each matters, your hard limits and your risk attitude, with a timestamp and a fingerprint.

Criteria lock: locked before the proposals were opened, with integrity checks, locked criteria and hard limits
The lock shows when it was made, that it hasn't been altered, and whether it came before the proposals arrived.

After locking, any change needs a reason and is logged, so nobody (including you) can quietly re-weight things to fit a favourite. Unlocking also needs a reason; earlier locks stay on the record.

Stress it: the four analysts

Stress it runs a deeper review that takes a few minutes. Four analysts, each with a different worldview, score every option on every criterion:

AnalystAsks
The OperatorCan it actually be done?
The QuantWhat do the numbers say?
The ContrarianWhat is everyone missing? (Has to argue against the favourite.)
The StewardWhat holds up in the long run?
Stress it results: a table of scores and regret, then a written recommendation
Each option's score (0–100), its regret (how far behind the best it could fall), tags such as breaks a limit and most robust, and a written recommendation that answers the strongest counterargument.

History, versions and undo

How the answer moved: a list of changes, each with its version, time and the answer after it

How the answer moved lists every change to the decision, newest first, with the answer right after it. Changes to the model are numbered versions (v1, v2…), so you can always tell which version a report or a document was based on.

↶ Undo steps back one change: the model, the lock, your lean, weights and settled numbers go back to how they were. Conversations in Discuss are kept.

Map, Model and Math

Map

The decision map: the question in the middle, with branches for hard limits, assumptions, sources, risks, options and what matters
The decision map, drawn by code from your decision. Red links break a limit, dashed ones are at risk, and dotted ones are claims about an option.

Click an item to find it in your writing, + to add one, or × to dismiss one. Issue tree breaks the question into sub-questions and marks each Answered, Blocking, Open or No evidence yet.

Model

The Model view: every input grouped by source, and each option's formulas with the values filled in

The whole model as a read-only sheet: every input grouped by where it came from, and each option's formulas shown three ways (the formula, the formula with your numbers in it, and the result). Click an input to highlight the formulas that use it. Formula editing can be turned on under Advanced settings; code checks every edit before it applies.

Math

The Math view: a decision analysis report with a recommendation and numbered exhibits

A full analysis report: the uncertain inputs and their distributions, sample scenarios, outcome distributions, the two-stage choice rule (first screen out options that break limits too often, then rank the rest), the value of more information, stability, and break-even values. The simulation uses a fixed seed, so the same model always gives the same answer.

Meeting mode

Meeting mode (at the top of the Lab) shows the decision full screen, in large type, for a room or a shared screen. It's the same live model: change a number and everyone sees the answer move.

Meeting mode: Northbridge Consulting 91%, each option with how often it's best and its limits, what it hinges on, and the numbers to try
Two clicks on Keystone's timeline, and the room sees Keystone break the go-live limit.

Turn on Predict first in meeting mode and have everyone call it before each change. Full screen hides the browser; Exit or Esc goes back.

Independent scoring

For decisions several people need to judge, a panel can score the judged criteria independently.

The Independent scoring card
  1. In Sign-off & seal, add at least two people with the role evaluator (or tick scores for a reviewer or approver).
  2. Start a scoring round. Each evaluator scores every option 0–10 on their own. Nobody sees anyone's scores, you included, until the round closes.
  3. Where scores are 3 or more points apart, you agree a score and write down why.
  4. Apply the agreed scores to the model. The panel's spread becomes each score's uncertainty. It's logged, can be undone, and goes into the evidence pack.

Evaluators must declare any interests before scoring, and anyone recused doesn't score.

Deciding and checking in

When you're ready, the Decide card records your choice and freezes what you knew and believed at the time.

The Decide card: I'm choosing, how sure you are, what success looks like, check in after
A pre-mortem with three failure modes, each with a likelihood, what to watch for and what to do now
A pre-mortem. Figures not yours flags a story that uses numbers that aren't in your writing or model.

The check-in

When the date comes, Home lists the check-in. You answer: how it turned out compared with what you expected, whether it was the right call, which assumptions held, whether any pre-mortem failures happened, and what the chosen option's costs and timelines actually came to. Leave anything blank you don't know.

Learning from outcomes

Your check-ins teach the Lab how far estimates like yours tend to run over. Code pools the gaps between what was estimated and what happened, by kind (costs, timelines, effort) and by whose figure it was (yours, or another party's claim):

Track record: what your check-ins teach, calibration, following vs overriding, and the list of decisions
Track record: what your check-ins teach, how well-calibrated your confidence is, and whether following the analysis beat overriding it.

In your next decisions, inputs of the same kind are offered wider ranges, with that lesson as the reason:

From your track record: widen Northbridge go-live timeline from 30–38 weeks to 30–42 weeks? Timelines from other parties came in 23% over

Sign-off and seal

For a decision you'll have to defend, Sign-off & seal makes it defensible: who approved it, on what numbers, with what interests declared.

  1. Name the people. Add each person with their role: proposer, reviewer, approver, evaluator or observer. New email addresses are invited to sign in.
  2. Declare interests. Everyone except observers declares their interests in the options or the parties (or that there are none). You rule on each one: recused, managed or immaterial.
  3. Propose it. Propose for sign-off freezes the choice, the reasoning and the numbers. Any later change to the decision voids the proposal and every signature, so signatures only ever cover what was signed.
  4. Sign. Each person approves, objects or abstains, with an optional note.
  5. Seal it. Once every approver has approved and every interest has a ruling, Seal it makes the decision read-only.
A sealed decision: approvers, conflicts of interest resolved, the seal fingerprint, evidence pack buttons and the audit trail
A sealed decision, with its fingerprint and an audit trail that's hash-chained and unbroken.

Documents for others

Decision pack: Work out my documents, and the steering committee deck

Work out my documents works out what this decision needs from who decides and who has to be convinced: a decision for yourself needs a page; one a board must approve needs a memo, a board paper, an evaluation report, a risk register and a verifiable record. The Lab drafts each from your numbers.

Accounts, teams and sharing

Feedback and the open beta

Xybernetex is in open beta: features change often, and what you tell us decides what gets built next.

The Feedback form: what's working, what's broken, what's missing

AI, privacy and limits

The AI doesCode does
Reads your writing and documents; drafts structure, formulas and 0–10 judgement scores; asks questions in Discuss; interprets requests in the work box; writes search queries; drafts documents and the four analysts' reviews. All arithmetic and the 2,000-world simulation; checking every quote; choosing what's worth discussing or researching; checking hard limits; recording, versioning, undo; the lock, signatures, seal and verification; the lessons from your check-ins.

Questions and answers

Why does the leader show a percentage instead of a single answer?

Most of the numbers behind a decision are uncertain. The percentage is the share of 2,000 plausible versions of the future in which that option comes out best. 95% means the choice is robust to what you don't know; 55% means it's close, and the Worth checking section tells you which unknown to pin down.

The numbers favour one option but the live decision shows another. Why?

“By the numbers” uses your best estimates. The live decision includes uncertainty: an option that's cheaper on average can still break a hard limit in many plausible worlds. Options that break a limit more often than your limit-risk setting (5% by default) are screened out first.

A number the AI found is wrong. How do I fix it?

Edit it directly under Other inputs (a what-if), then Keep in the model. Or use discuss next to the number to talk it through, or tell the work box (“set the Keystone rate to $179”).

Will rebuilding the model lose my changes?

No. Rebuilding keeps your weights, what you settled in Discuss, values you kept from scenarios, inputs you added or took out, and formula edits where they still fit. recalculate from scratch is the one that starts over, and it asks first.

How do I undo something?

Use Undo in the note that appears after a change, or ↶ Undo in How the answer moved, which steps back one change at a time.

The analysts' report says it's out of date.

It was based on an earlier version of the model. Use Refresh the review (quick) to bring it up to date in a few minutes. If the options themselves changed, it needs a full Stress it again.

Can I change a sealed decision?

Not directly: that's the point of sealing. Make an editable copy to explore, or reopen it with a reason (the original seal stays on the record).

It says “can't tell”. What does that mean?

A hard limit needs a figure that one of the options doesn't have yet (a price, a timeline), so the Lab can't check it. Rather than guess, it doesn't choose that option until the figure exists. Get it, add it as an input, and the comparison is settled. See When a figure is missing.

Where did my question from the work box go after I changed a number?

It's still there, labelled Answered before your last change: it was about the numbers as they were. Use Ask again for an answer about the numbers now.

Two options are shown as a tie.

They come out exactly level, so the numbers don't pick between them. Decide on something the model doesn't count, or add what would separate them (a criterion, a cost, a limit).

Do I need to use every tool?

No. For a personal decision, writing it out and reading the live decision may be all you need. The Lab shows more tools as they become useful; the Next step always points to the single most useful one.

Glossary

TermMeaning
Plausible worldsThe 2,000 versions of the future the simulation tries, each drawing every uncertain number from its range.
Hard limitA line an option mustn't cross (a budget cap, a deadline).
Can't tellA hard limit that can't be checked for an option because a figure is missing. Never treated as a pass.
LeanThe option you'd pick today. Recorded so you can see whether following your instinct or the analysis works out better.
ClaimA figure from another party, treated as optimistic until verified.
What-if / scenarioValues you're trying without changing the model. Keep, compare or discard them.
VersionThe model after each change. Reports and documents say which version they were based on.
Value of informationHow much pinning down an uncertain number could improve the decision. Zero means it's not worth researching.
RegretHow far behind the best option a choice could fall, across the analysts' worldviews.
Pre-mortemImagining the choice failed, to find the likeliest reasons in advance.
SealMaking a signed-off decision read-only, with a fingerprint anyone can check.
Evidence packEverything behind a decision, packaged for an auditor to verify.

Still stuck? Email chris@xybernetex.com.

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