Founder Performance Research guide

Belief audit vs fact-check: inspect the claims you already act on

An unspoken assumption can steer next quarter's plan without ever being put on the table. Start by writing down what you already lean on.

Blank cream index cards fanned across a wooden desk in soft morning light, with one card set apart beside a brass magnifying glass under a teal desk lamp
The card set apart is the one belief that gets a closer look before it guides another decision.

Direct answer

A fact-check examines the evidence for one specific claim, often one someone has just put in front of you. A belief audit starts with ten claims already guiding your decisions. For each, write where it came from, a 1–10 confidence rating, the support you can actually name, and what would change your mind. Then circle one belief held firmly on thin support and give it a dated next step: find the original source, ask a qualified person, run a safe bounded test, or reduce the commitment. Keep the original list and revisit it. The audit decides what to examine; it does not establish what is true.

A fact-check tests a claim someone puts in front of you; a belief audit finds the claims you have already let steer your decisions. Picture a hypothetical founder planning next quarter. A vendor says its tool will halve setup time. She can ask what was measured, what it was compared with, and whether the result would hold for her team. That is a fact-check of one stated claim.

Her plan contains another claim: I must join every first call with an enterprise prospect, or we will not get a second meeting within 30 days. No vendor is pitching it, and nobody has asked her to defend it. Yet it could fill her calendar and limit what her team is allowed to do. A belief audit brings that kind of claim onto the page before it becomes next quarter’s rule.

The first exercise in The Evidence-Aware Life, and by the book’s own account the most important, is exactly this: Audit your ten strongest beliefs. You list ten claims, weigh your confidence against the support you can name, and choose one next action, keeping the dated list for a later review. It is a way to decide what deserves checking, not a shortcut to ten verdicts.

What is the difference between a fact-check and a belief audit?

A fact-check starts with a specific factual statement. It traces the statement to its source, examines the available evidence, and says what that evidence does and does not establish. Usually it is reactive and outward: someone else put the claim in front of you, in a sales pitch, on a slide, or as a confident remark from a colleague. You can fact-check your own sentence too, once you have said it out loud.

A belief audit is proactive and turns on your own commitments. Before testing any single statement, you ask which claims already shape your choices. You put ten on a sheet, compare how firmly you hold each one with the support you can name, and pick one gap to act on.

Fact-checkBelief audit
Starting pointOne stated claimClaims already guiding your decisions
DirectionUsually reactive and outwardProactive and inward, turning on your own commitments
QuestionWhat does the evidence establish about this claim?Which of my strong beliefs can I support, and which needs a closer look?
ScopeThe claim and its evidence trailTen beliefs, then one selected gap
OutputA finding, including what remains uncertainA dated baseline and one next action

The difference is the order of work. A careful fact-check leaves untouched any assumption you never thought to state. The audit makes that assumption visible first, so you can decide whether and how to check it.

Which beliefs belong on the list?

The book draws beliefs from any area that matters to you, health and contested public questions included. For a work audit, choose ten you would defend that shape real choices: whom you hire, which customers you pursue, what you delegate, where the money goes. Write each as a plain sentence. “Enterprise prospects will not book a second meeting within 30 days unless I join the first call” is easier to examine than “sales needs me.” The first names an outcome, a condition and a time frame. The second could mean several things.

Do not pick only the beliefs you already distrust. Include the ones that feel settled because you stopped asking about them; a correct belief still belongs on the list if you rely on it.

Separate claims about what happens from values about what matters. “Junior colleagues should get the chance to lead important calls” expresses a value and a management choice. “Prospects will not book a second meeting if a junior colleague leads” predicts an outcome. Evidence can test the second and inform the practical effects of the first; it cannot choose your values for you. If you cannot name an observation that might change a supposedly factual belief, pause. The book’s diagnosis: the claim may be too vague, poorly understood, or tied to a commitment you have not yet separated from it.

What do you record for each belief?

Date the sheet. The book’s opening practice uses five columns: the belief in one sentence; where it came from; confidence from 1 to 10; the receipt, meaning the evidence you can identify and its rung on the Evidence Ladder; and what would change your mind. Fill all ten rows with what you know now. An audit is an inventory first; you do not need to investigate ten claims before writing the first line.

Keep where from separate from the receipt. “A founder I admire said so” tells you how a claim reached you. It does not tell you what that founder observed, whether anything was compared, or whether her setting resembles yours. The Evidence Ladder names seven kinds of support: assertion, anecdote, authority, mechanism, study, convergence, and your own test. The book is explicit that these are prompts for inspection, not automatic grades of reliability. If you cannot identify the evidence, write unknown. In the words of chapter 1, you have found “a question to investigate, not proof that the belief is false.”

Treat the 1–10 rating as a personal starting note on how firmly you hold the claim today. A 9 is not a measured 90% chance. Chapter 3 handles probability forecasts separately; those need a scorable event, a date and rule for resolving it, and outcomes tracked across many forecasts. Here the number has a humbler job: spotting a conviction that carries more weight than the support you can show.

The last column keeps the sheet from becoming a list of declarations. Write an observation that would challenge or narrow the claim. For an absolute statement such as “no prospect books within 30 days without me,” one documented counterexample defeats the absolute wording. It does not, by itself, tell you how often founder involvement helps. That narrower question needs more evidence.

Worked example: the founder on every call (hypothetical)

The founder from the opening missed two first calls, and neither led to a second meeting within 30 days. She also remembers stepping in on later calls. Her audit row could look like this. The company, records, rating and schedule are invented to show the method; they report no real result.

BeliefWhere from?ConfidenceReceipt I can nameWhat would change my mind?
”Without me on the first call, no enterprise prospect books a second meeting within 30 days.”Two calls I missed stalled; I stepped in on later ones.9/10Notes on the two stalled calls (anecdote). I have not looked for calls I missed that did progress.One documented second meeting within 30 days without me would disprove “no.” A fuller set of calls could show where my presence helps.

The notes can support “these two calls stalled.” Just as one case study cannot tell you how often an outcome occurs across comparable settings, two remembered calls cannot show that her absence caused the stalls, or that every enterprise prospect needs her there. Perhaps those prospects were a poor fit, or the timing was wrong for them. The audit catches the jump from two cases to a rule for every call, and shows where to look next.

She dates the sheet on a Monday and books Thursday for a source check. She will pull the original notes and every first-call record old enough to show a 30-day outcome, looking for calls she missed that did lead to a second meeting. For each, she will record who joined, whether a second meeting was booked, and any obvious differences between prospects. The following Monday, she will revisit the blanket rule.

Three results are possible. If she finds a second meeting booked within 30 days without her, the word no has to go, and she still has to work out which kinds of call benefit from her. If every call she missed stalled, the belief gains some support but not proof of cause, because the calls she missed may differ from the ones she joined in other ways. If the records are too thin to tell, she marks the question open. The example supplies a check and a review date; it does not supply the outcome.

How do you choose the next action?

With all ten rows visible, circle one belief held with strong confidence on thin identifiable support. If several qualify, start with the one shaping a decision you face soon, and weigh what being wrong would cost. The book offers four next moves: find the original source, ask a qualified person, run a safe bounded test, or reduce the commitment.

Choose the move that fits the gap. A half-remembered quote or figure calls for the original source. A question that needs specialist judgment calls for someone qualified. A local test needs a defined comparison, outcome, limit and decision before it starts, and even then it may not settle cause. If you cannot safely wait or test, make a smaller commitment where you can and get help. Put an owner and a date beside the action. “Look into it” is too vague to revisit.

From here the audit hands over to a single-claim check. The book’s practice kit makes the same handoff: complete the ten-belief audit, choose one consequential claim, run the LEVEL card. The LEVEL check takes that claim through five moves: locate it in one sentence, estimate the stakes of being wrong, value the evidence, expose the gap between that support and what the decision requires, and lean with a proportionate next step. The LEVEL framework page has the short version. If you must act before the answer is in, a five-line decision journal preserves what you believed at the moment of choice.

What happens when you revisit the list?

Keep the original ten entries. Add your later assessment in a fresh column beside them, and do not overwrite your old reasons with the ones you now wish you had held. The book’s closing practice uses five labels: strengthened, weakened, changed in scope, unchanged, and unreviewed. Mark any entry you did not assess unreviewed; a belief nobody looked at has not earned “unchanged after review.”

For the selected belief, write what you found, what it supports, what remains open, and whether your action changes. Chapter 5 asks you to keep the old claim, the new evidence and the revised decision visible together. If a team rule changes, the people working under it need the revised reason as well as the new instruction.

Do not score the exercise by how many beliefs you reversed. The book’s conclusion is direct about it: “Do not lower confidence to show you have learned.” A belief can grow stronger, hold up, or stay unresolved. The useful comparison is between the original record and the support you can now identify, with the unreviewed entries still in view.

What can the audit establish?

It can show where your confidence runs ahead of the support you can currently identify, and give that gap a next step. It cannot show that a belief is false because its receipt column is empty. Nor does finding a source make a claim true; you still have to inspect what the source actually supports.

The book presents the Evidence Ladder and LEVEL as the author’s practical tools, and the audit as a recommended practice. It states that the research behind those tools does not establish that the combined method improves health, income or other life outcomes. A before-and-after comparison documents what you did; it does not prove the method caused a later success. For a consequential question that needs specialist knowledge, use the audit to bring a clearer question to a qualified person.

Try this today (20 minutes)

  1. Date a blank sheet. Write the ten strongest beliefs currently guiding your work, one checkable sentence per line. Keep values apart from claims about what happens.
  2. Fill five columns for each. The belief, where it came from, your 1–10 starting confidence, the support you can actually identify, and what would change your mind. Write unknown where the receipt is missing.
  3. Circle one gap. Choose a belief you hold firmly on thin support, preferably one shaping a decision you face soon. Leave the other nine on the sheet.
  4. Write one next step beside it. Find the original source, ask a qualified person, define a safe bounded test, or reduce the commitment. Name who does it and by when.
  5. Set a review date. Keep the original sheet. On that date, record what the check found and mark every untouched entry unreviewed.

Today’s result is one dated action on a belief you already use. The review will tell you what that action actually established.

Cite this:Belief audit vs fact-check: inspect the claims you already act on.Len P. van der Hof. https://lenvanderhof.com/en/blog/belief-audit-vs-fact-check/ ·

Sources

  1. The Evidence-Aware Life
  2. LEVEL framework
  3. What is LEVEL? A five-step check before you act on a claim
  4. Case study vs evidence: what one success can tell you
  5. Write the five lines before you act

Further reading

Markdown for LLMs