6-lesson course · about 2 hours

Separate Evidence, Judgment and Approval in a Recommendation

For Consultants, project leads, managers and professionals who turn information into plans, decisions and client work

Everything for Professionals

Write recommendations where every claim traces to evidence, your judgment is labeled as such, and open approvals are explicit, then check the draft with AI before it goes to review.

Try lesson 1 freeSee what you’ll learn

What you’ll be able to do

By the end, you can…

Sort claims into evidence, judgment, assumption and pending approvalTake an existing recommendation and mark each statement so a reviewer can see which category it belongs to, and catch the sentences that blur two categories at once.
Trace every evidence claim to a specific sourceAttach a checkable reference to each factual claim, flag the ones resting on memory or hearsay, and decide whether to source, relabel or remove them.
Label judgment with reasoning and a condition that would change itRewrite judgment presented as fact into openly labeled judgment, state what would make you change your view, and separate assumptions from conclusions.
Make open approvals, owners and deadlines explicitList who must approve, what they are approving and what depends on it, and distinguish agreed commitments from inferred ones presented as if already settled.
Brief an AI assistant to audit your draftWrite a checking brief that defines the categories and asks for line-referenced findings, strip confidential information before checking, and decide which AI tool is appropriate for the draft.
Revise so the recommendation holds up under line-by-line reviewClassify AI findings as accept, reject or investigate, spot AI errors like invented sources and missed approvals, and run a final reviewer pass on the revised draft.

How it works

A tutor that meets you where you are

  1. Lessons that adapt to your levelEach lesson is written for where you are when you reach it. Early lessons are shared; later lessons adapt as the AI tutor learns how you reason about evidence, judgment and approval.
  2. An AI tutor you can ask anythingAsk questions typed or out loud at any point. The tutor works through the course material with you, one-on-one, and helps you apply the structure to your own recommendation.
  3. Quizzes and flashcards tied to each lessonPractice sorting claims, tracing sources and labeling judgment with short quizzes and flashcards built directly from what each lesson covers.
  4. Progress tracking and a certificate of completionTrack your progress through the six lessons and receive a certificate of completion when you finish the course.

Curriculum

The curriculum

The course runs through a sample service-improvement project, with room to substitute a comparable recommendation from your own work. Six lessons, roughly two hours, from sorting a blurred draft to running a final line-by-line review.

Module 1See the Blur and Sort It Out2 lessons

  1. 1Why Blurred Recommendations Fall Apart
    • Explain how one unsupported or mislabeled claim lets a reviewer question the whole recommendation
    • Define evidence, professional judgment, assumption and pending approval in terms a reviewer would accept
    • Sort the statements in an existing recommendation into evidence, judgment, assumption and pending approval
    • Mark the statements that combine two categories in one sentence
  2. 2Trace Every Evidence Claim to a Source
    • Attach a specific, checkable source reference to each evidence claim in a draft
    • Flag evidence claims that have no source or rest only on memory or hearsay
    • Decide whether an unsourced claim should be sourced, relabeled as judgment or assumption, or removed
    • Separate what a source actually says from your interpretation of it

Module 2Label Judgment and Make Approvals Explicit2 lessons

  1. 3Label Judgment and Assumptions So Reviewers Can Test Them
    • Rewrite judgment presented as fact into labeled judgment with its reasoning
    • Write the condition or evidence that would change each judgment
    • List each assumption under its own label within the judgment part, with how and when it could be checked
    • Choose wording that signals your level of confidence without vague hedging
  2. 4Make Open Approvals, Owners and Deadlines Explicit
    • Write a pending-approvals list stating who must approve, what exactly they are approving and what depends on it
    • Distinguish agreed owners, deadlines and requirements from inferred ones, and label each accordingly
    • Spot missing information that has been presented as an agreed requirement
    • Rewrite implied commitments as proposals awaiting confirmation

Module 3Check with AI and Revise for Review2 lessons

  1. 5Brief an AI Assistant to Audit Your Draft
    • Write an AI checking brief that defines the categories and asks for specific, line-referenced findings
    • Specify an output format that makes each finding easy to verify
    • Prepare a draft for AI checking by removing or replacing confidential client and employee information
    • Decide whether a given AI tool is appropriate for a given draft
  2. 6Judge the AI Findings and Revise for a Sharp Reviewer
    • Classify each AI finding as accept, reject or investigate, and give a reason for each decision
    • Spot AI errors such as invented sources, over-flagging and missed hidden approvals
    • Revise a recommendation so every claim shows its category, source or reasoning, and approval status
    • Run a final line-by-line review as a sharp reviewer would

Who it’s for

Made for you if…

Made for: Consultants, project leads, managers and professionals who turn information into plans, decisions and client work

A consultant writing client recommendations

Your recommendations mix what the data shows, what you think, and what still needs sign-off, and a sharp reviewer can pull the whole thing apart by finding one unsupported or mislabeled claim.

A project lead preparing a steering-group paper

You need reviewers to trust that each claim is traceable, that your judgment is openly labeled, and that open approvals are explicit with named owners and dependencies.

A manager turning analysis into a decision memo

You want to distinguish agreed commitments from inferred ones, and use an AI assistant to check your draft for blurred categories before it goes to review.

Questions

Good to know

Do I need a recommendation of my own to take this course?

No. The course follows a sample service-improvement project you can work through directly. If you have a recent recommendation or comparable assignment, you can substitute it for practice.

Do I need experience with AI chat assistants?

You need basic use of an AI chat assistant for drafting or summarizing text. The course teaches you how to write a checking brief and review the findings, not how to use the tool itself.

Does this course cover data analysis or statistical methods?

No. The course assumes your evidence is already produced. It focuses on tracing each claim to its source and separating evidence from judgment and approval.

Will the course teach me how to handle confidential information with AI tools?

The course covers removing or replacing confidential client and employee information before AI checking, and deciding whether a given AI tool is appropriate for a given draft. It does not cover your organization's specific governance or compliance rules.

Is this about persuasive writing or presentation delivery?

No. The course is about structural clarity: making evidence, judgment and approval visibly separate so a reviewer can test each part. It does not cover slide design, persuasion or delivery.

Separate Evidence, Judgment and Approval in a Recommendation

$47

One payment · lifetime access

  • 6 self-paced lessons, approximately 2 hours total
  • AI tutor available throughout, typed or spoken
  • Quizzes and flashcards tied to each lesson
  • Practice on a sample service-improvement project or your own assignment
  • Progress tracking and a certificate of completion

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Refunds: Full refund if you ask before you open your first lesson. Once you’ve started, purchases aren’t refundable, except where the law gives you that right.

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