7-lesson course · about 2 hours
Spot Missing Information Posing as Agreed Requirements
For Consultants, project leads, managers and professionals who turn information into plans, decisions and client work
Everything for ProfessionalsUse AI to tag every requirement in your notes as agreed, assumed or missing, and send follow-up questions before gaps become rework.
What you’ll be able to do
By the end, you can…
How it works
A tutor that meets you where you are
- Lessons that adapt to your levelThe course starts at beginner and moves to intermediate as you progress. Later lessons are written for the level you've reached by the time you arrive.
- An AI tutor you can ask anythingType or speak a question at any point and the tutor works through it with you, using the course material and your own project examples.
- Quizzes and flashcards tied to each lessonCheck your understanding after every lesson with quizzes and flashcards built from that lesson's content.
- Progress trackingSee which lessons you've completed and where you left off, so you can pick the course up across short sessions.
- Certificate of completionReceive a certificate when you finish the course, confirming you worked through all seven lessons.
Curriculum
The curriculum
The course follows a sample service-improvement project across seven lessons. You can substitute a comparable assignment from your own role at any point, keeping scope, commitments and review responsibility clear.
Module 1Prepare the Audit3 lessons
1Why Assumptions Look Like Agreed Requirements
- Explain three common ways an assumption ends up written as a requirement in notes or emails
- Define agreed, assumed and missing in terms of the evidence each one needs
- Classify sample statements from a service-improvement project as agreed, assumed or missing
2Prepare Your Sources and Protect Confidential Information
- Check whether a given AI tool is approved by your organisation for client or employee information
- Identify client-confidential and employee information in a set of notes
- Mask or remove sensitive details using consistent placeholders while keeping the notes usable for the audit
- Assemble a labelled source pack with document names, dates and attendees
3Brief the AI to Audit, Not Invent
- Write a brief that sets out the task, inputs, output columns and rules for handling gaps
- Include explicit instructions that stop the AI from supplying owners, dates or values that are not in the sources
- Test the brief on a short excerpt and revise it based on what the AI gets wrong
Module 2Run the Audit and Close the Gaps4 lessons
4Extract Requirements and Tag Them by Source and Status
- Produce a requirements list in which each item is linked to a speaker, a document or meeting, and a location
- Assign agreed, assumed or missing to each item and record the evidence for that status
- Split compound statements into separate requirements so each can be confirmed on its own
5Flag Inferred Owners, Deadlines and Scope
- Spot owners, deadlines and scope boundaries in notes that were inferred rather than committed to
- Write a follow-up prompt that makes the AI list every owner, date and scope boundary with its evidence
- Explain why a given inferred commitment carries delivery risk on the sample project
6Check the AI's Output Against Your Sources
- Verify that quotes and attributions in the AI output match the source material
- Correct items the AI misattributed or marked as more agreed than the evidence supports
- Find requirements, people and dates in the sources that the AI left out of the list
- Record your own judgment in a separate column from the source evidence
7Write Targeted Follow-Up Questions and Record the Answers
- Write a specific, answerable follow-up question for each assumed or missing item
- Group questions by the person who has authority to confirm them and order them by delivery impact
- Unmask the questions and list in an approved environment before sending them
- Update the requirements list when confirmations arrive, with new evidence and a date
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
Consultants who take their own meeting notes
You've built to a 'requirement' that turned out to be an assumption nobody agreed, and you want to catch those gaps before the client pushes back.
Project leads turning briefs and emails into plans
You receive request documents and meeting notes from several people and need a reliable way to sort what was actually agreed from what was inferred.
Managers handling internal requests
You own the space between an unclear request and a result someone else can use, and you need follow-up questions that go to the right person.
Questions
Good to know
Do I need experience with AI tools to take this course?
You need basic experience using an AI chat assistant, such as asking questions and pasting in text. The course does not assume you have used one to check requirements systematically.
Do I need my own project material?
You can use meeting notes, emails or a request document from a project you're working on, or you can follow the course's sample service-improvement project throughout.
Will the AI assistant see my client-confidential information?
The course covers how to check whether a given tool is approved by your organisation, and how to mask or remove sensitive details using consistent placeholders before uploading. You should also be aware of your organisation's rules on which tools may handle client or employee information.
Does this course cover formal requirements engineering or requirements management software?
No. The course focuses on using an AI chat assistant to audit notes and request documents, tag requirements, and generate follow-up questions. It does not cover formal requirements-engineering methods, dedicated software, or change control after requirements are accepted.
How long does the course take?
The course is designed to take about two hours across seven lessons.
Will the AI invent owners, dates or values that aren't in my sources?
The course teaches you to write a brief with explicit instructions that stop the AI from supplying owners, dates or values not in the sources, and to test and revise the brief based on what the AI gets wrong.
