Where should you start? (6-minute placement quiz)

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Whether the writing is grammatically clean and reads professionally throughout

Whether the judgment — what these findings mean for THIS client, in THIS context — is actually in there

Whether it's shorter and tighter than what you'd have written from the same notes

Nothing; if it reads well and covers the topics, it's done

Q1. A colleague hands you a polished-sounding gender analysis and says an AI tool wrote most of it from the raw notes. What's the first thing worth checking?

They're interchangeable; use whichever sounds better in the room

Equality means treating everyone identically; equity means recognizing different starting points and allocating support accordingly so outcomes can actually be equal

Equity is the modern replacement term for equality; stop using "equality"

Equality applies to law, equity applies to culture

Q2. A client asks you to explain the difference between "gender equality" and "gender equity" in a workshop. Which answer is precise, in this course's terms?

Apply it exactly as written, since consistency across offices matters most

Refuse the assignment as culturally inappropriate

Keep the underlying value, but reframe the reasoning in terms this society already recognizes as its own — imported conclusions rarely stick; convictions people reach themselves do

Translate the document into Arabic and consider it complete

Q3. A headquarters office asks your regional team to apply a values statement written for a different country, with no local adjustment. What's the strongest move?

"It's the right thing to do for your workers"

"Every responsible company is doing this now"

"The departments with unresolved reporting gaps are where you're losing trained women workers within six months — that's a measurable re-hiring and retraining cost"

"Gender equity is a core value your company should hold"

Q4. A factory CFO asks why a harassment-reporting redesign is worth the budget, and only tracks cost. Which framing best translates values into business language?

The roles people hold, who has access to and control over which resources, and the structures shaping both — the headcount comes in later, as one data point

The most recent global ranking on gender equality

Q5. Before running a single survey, a basic gender analysis starts by examining:

Whether the tool's interface looks professional and the vendor seems reputable

Whether the notes are truly re-identification-proof, and whether this class of data may leave your machine at all

Whether the time saved on summarizing justifies the small formatting cleanup afterward

Nothing further — removing the names makes any dataset safe enough for cloud tools

Q6. You're about to paste a client's interview notes, with names removed, into a cloud AI tool for a first-pass summary. What's the real safety check here?

"Write a gender analysis of this workplace from these notes"

"Summarize these interview notes into a table of recurring themes. Do not interpret what they mean — just group and label them."

"Tell me what this company should do about its gender problem"

"Write a confident-sounding conclusion for my report"

Q7. Which prompt keeps AI doing machinery instead of drifting into authorship?

Nothing; a gender audit is identical everywhere

The decision language and procurement path — the INGO weighs it against a logframe and compliance, often through a formal tender; the HR director weighs it against cost and risk, often through a direct relationship

Q8. An INGO program officer and a private manufacturing HR director both ask you for what sounds like "the same" gender audit. What's most likely to actually differ?

"Responsible for gender mainstreaming activities across client projects"

"Identified the reporting gap driving 6-month attrition among women workers and fixed it; the redesigned channel is now standard across 3 sites"

"Detail-oriented gender consultant with a strategic mindset"

"Conducted numerous gender audits for manufacturing clients"

Q9. Which CV bullet passes the "outcomes, not duties" test?

Jump to the scope-of-work paragraph first, since that's the real content

Eligibility requirements and evaluation weights, so you know fast whether you qualify and what's actually scored before investing hours in the narrative

Read start to finish, in the exact order it's laid out

Q10. You've just received a ToR (terms of reference) for a project you're considering bidding on. What should you check before reading the narrative sections closely?

Design a training module that speaks to common turnover-related themes

Ask what business challenge is actually driving the request, and work through the diagnostic chain before any intervention gets named

Request a larger training budget, since a retention problem usually calls for more, not less

Survey the women who already left to see how they'd have redesigned the training

Q11. A logistics client opens with: "We want a gender training for our women, because they keep leaving." What's the strongest first move?

Keep the claim — models rarely invent facts entirely from nothing

Rewrite it in softer, more hedged language so it reads as more tentative

Mark it NOT FOUND or LOW confidence, and drop it from anything you plan to actually use unless you can verify it by hand

Ask a second AI model to independently confirm the same claim

Q12. Extracting stats from a client's HR reports with AI, the model returns a claim you cannot verify against a real page number. What should you do with it?

Leave it as written — a direct question saves time and gets a clearer answer

Run it against a defensive-manager persona and a frightened-worker persona, and rework or reorder any question that makes a persona deflect

Remove the topic from the guide entirely, to eliminate any chance of risk

Ask the client's own HR director to review the guide's tone before the visit

Q13. Your draft interview guide includes a direct question about a supervisor's conduct, aimed at a line worker. What's the right move before this guide ever reaches a real respondent?

Lightly smooth the wording so it's closer to what's likely in the transcript