MATERIAL DE APOIO · MD
Annotated examples and template guide
Rewrites, a worked metric, first-job evidence, translation and an AI editing instruction.
Baixar MD · 7 KB ↓Original educational examples; no real candidate or application is represented. Copy into your preferred editor; this guide does not store your answers.
Using the DOCX
- Download the English or Portuguese template and open a copy in a compatible editor.
- Replace every bracketed field with verified information. Remove instructions and irrelevant sections; duplicate experience blocks as needed. For a first job, move relevant projects or education before experience.
- Check the saved document and exported file again. Rendering can vary between editors. The template has no real candidate data and was not certified by an employer’s parser.
Compare the claim
Deslize a tabela para comparar as colunas →
Starting wording | Supported rewrite, when true | Unsupported leap |
|---|---|---|
Responsible for spreadsheets | Checked order deadlines and flagged discrepancies | Increased revenue by 40% |
Helped with a school fair | Organized registrations with the student team | Managed a corporate event department |
Studied SQL | Built a query project using fictional data | Senior database specialist |
Turn a responsibility into a contribution
A useful bullet shows what you did and why it mattered. Use action + object + context or method + an effect you can support. Not every sentence needs every component; never invent an outcome to complete the formula.
Illustrative case: ‘Responsible for spreadsheets’ becomes ‘Checked orders in the tracking spreadsheet and flagged deadline discrepancies to the customer-support team’. If the person created the process, ‘Created’ may fit; if they only used it, that verb overstates ownership.
‘Proactive, organized and results-driven’ gives the reader no situation to assess. ‘Organized files by customer and date so the team could locate contracts’ supplies an action and purpose without a percentage. Write plainly first. Then remove repetition, internal jargon and words that add no meaning. In an interview, you should be able to explain the process, a difficulty and your actual role.
Use numbers with a baseline, period and attribution
Numbers can describe volume, time, quality or outcomes. Choose a measure you actually know. ‘Checked approximately 40 orders per week’ conveys scale; ‘increased sales by 40%’ attributes an outcome and needs much stronger support. Label estimates as estimates.
In a fictional example, a process fell from 50 to 35 minutes: 15 minutes saved, or 15 ÷ 50 = 30%. ‘30% faster’ can confuse duration with speed; prefer ‘reduced completion time by 30%’. State what was measured and the context. If several people changed the process, describe your contribution without claiming the entire result.
When reliable records are unavailable, use a concrete deliverable: a documented procedure, an introduced check, customers served or an identified problem. Do not manufacture a percentage because the sentence feels weak. Sensitive commercial figures may require another form of evidence; percentages can also disclose confidential information.
Show capability when applying for a first job
Without previous employment, look for experiences that make a capability observable: a school project, event organization, community work, help in a family business or independent work. Label the context accurately. A strong academic project does not become ‘consulting’ because it turned out well.
Fictional example: a student organized registrations for a school fair. ‘Built a form, checked duplicate registrations and organized the participant list with the team’ demonstrates organization and data handling. Add an anonymized sample if sharing is appropriate. Do not claim team leadership when decisions were collective.
A demonstration project can fill an evidence gap: build an order spreadsheet with fictional data, explain validation and show a corrected discrepancy. Label it as a simulation. The application gains a sample of reasoning, not retroactive professional experience. Education can precede experience when it is the strongest relevant evidence; avoid filling space with unrelated certificates.
Translate experience without inflating it
Translate the contribution, not just individual words. Portuguese ‘atendimento’ may mean customer service, customer support or reception, depending on the work. ‘Assistente’ does not become manager; coordinating one stage does not imply managing people. Where a local title is ambiguous, keep the original and add a brief functional explanation.
Illustrative example: ‘Acompanhava pedidos e sinalizava atrasos à equipe’ can become ‘Tracked orders and flagged delays to the team’. ‘Led end-to-end operational transformation’ would invent scale and leadership. Use past tense for completed work and a consistent form for current activities. Numbers, dates and responsibilities should remain equivalent across versions.
Educational qualifications and licences do not gain equivalence through translation. Official names may remain with a description. Adapt context too: explain a local acronym an international reader may not recognize. The English template is an editable starting point, not a compulsory standard for every country or a claim of fluency.
Use AI to edit without inventing your history
AI can help identify repetition, suggest wording and compare a vacancy’s language with your evidence. First supply enough facts and remove unnecessary personal or confidential information. Using an external service is your choice under its terms; this course sends nothing automatically.
Copyable instruction: ‘Edit these bullets for clarity using only the supplied facts. Do not invent numbers, tools, leadership or certifications. For each version, show the original, the proposal and any uncertainty. Ask rather than filling factual gaps. Vacancy: […]. Verifiable facts: […].’
Compare every verb and number. If ‘helped organize’ becomes ‘led’, return to the actual fact. If a tool appears only because the vacancy mentioned it, remove it until supported. Read the final version aloud and explain an example without looking at the text: wording you do not understand will hinder an interview. AI can assist editing; you remain responsible for an accurate application.
References
Checked September 26, 2026. Guidance and platform behavior may change.