Read out an A/B test result with checks a statistician can audit

An experiment readout covering effect, interval, plan deviations and sample-ratio check, with a review list.

Choose one of three approaches. The steps for that option appear below.

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Vizly: computes statistics and drafts the checked readout

Vizly computes statistics and drafts comparisons; the statistician recomputes figures, checks deviations and signs the readout.

  1. You

    Collect results, plan and any run log

  2. Vizly

    Draft statistics and the deviation table

  3. The statistician

    Check figures and decide deviation impacts

  4. Vizly

    Draft the readout from checked tables

  5. The statistician

    Check every claim

  1. Collect results, plan and any run log run log

    Use: You

    Have ready: variant results, written plan and any run log; retain planned sample size, allocation, primary metric and stopping rule.

    Check

    Confidential experiment data goes into an external tool only if your organisation's rules allow it.

  2. Draft statistics and the deviation table table

    Use: Vizly

    Ask Vizly for rates, confidence intervals, between-variant effect, sample-ratio check and code, then planned-versus-observed differences with missing evidence marked.

    Details

    What to paste into the tool

    Task: Draft results table (CSV: variant, n, conversions, rate, interval) including the between-variant effect and its interval, plus the code behind the analysis. From this table compute per variant: n, conversions, conversion rate and a 95% confidence interval; then the difference in conversion rates between variants with a 95% confidence interval for the difference; and a sample-ratio mismatch check against the planned allocation. Show the code behind the analysis and return the result as a CSV table. Task: Draft deviation table (planned, observed, difference) with still-to-confirm marks where evidence is missing. Compare the planned values in this written test plan with the observed values in the results table, row by row. List each difference. Where no run log is supplied, mark the peeking and stopping-rule rows as still to confirm; do not infer them from the totals. No new numbers beyond the differences.

  3. Check figures and decide deviation impacts impacts

    Use: The statistician

    Recompute every figure independently; check deviation rows against the plan and checked results; decide which deviations invalidate the result.

    Check

    Recompute every figure with your own tool; if any number differs, the Vizly output for that row is not used. Decide which deviations invalidate the result. Where no run log exists, peeking and stopping-rule deviations stay marked still to confirm and are not inferred from the totals. Check each row against the written plan and the results table before using it.

  4. Draft the readout from checked tables tables

    Use: Vizly

    Ask Vizly for effect, interval, deviations, sample-ratio check and a statistician's review list using only checked results and deviations.

    Details

    What to paste into the tool

    Task: Draft readout: effect, interval, plan deviations, sample-ratio check and a statistician's review list. Draft a readout using only these two tables. State the effect and interval, list each plan deviation and the sample-ratio check, keep every still-to-confirm mark, and end with a review list for a statistician. No new numbers.

  5. Check every claim and sign the list

    Use: The statistician

    Check the readout line by line against checked tables; remove untraceable numbers, sign the review list and store the audit files.

    Check

    Numbers reproduce from the table; each deviation from the plan is listed. A readout is not a launch decision. Remove any number that does not trace back to the checked tables.

Before you paste into any AI tool, remove any confidential information. Put it back at the end.

Tools in this workflow

Final check

Numbers reproduce from the variant result table.

Each deviation from the written plan is listed with its impact.

Peeking and stopping-rule checks are marked still to confirm where no run log was supplied.

A statistician recomputes the figures and signs the review list.

Check data-handling rules before uploading experiment data to any tool.

Check the result against your original inputs. Approve it before sharing or acting.

What still needs checking
  • Statistical correctness of every tool-drafted figure is unchecked; each option requires recomputation by the statistician.

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