Date · Tuesday, 5 May 2026, 13:30 CEST
Hosted by · UNEP and IFAD
Session page · UNOG learning
Speakers
- Bewketu Bogale · Learning and Development Professional, UNEP · Bio
- Mian Nabeel Ahmed · Learning and Development Manager, IFAD · Bio
Two practitioners walk through the mechanics of applying well for a UN role. Bewketu Bogale (UNEP) presents the BASIC achievement bank, a five-field structure for documenting accomplishments so they survive reuse across CVs, cover letters, and interviews. He also covers R-CAR for achievement statements and the seventy-percent fit threshold for deciding when to apply. Mian Nabeel Ahmed (IFAD) follows with the Third Eye Principle, a three-layer pre-submission review, and a taxonomy of five AI tool categories that improve application quality at different stages.
Key takeaways
- Tailor every application to the specific job description. A generic CV mirrors no role and reaches no shortlist.
- Maintain an achievement bank using the BASIC structure. Write each accomplishment in five fields so it is retrievable under application pressure, not vaguely recalled.
- Quantify impact wherever possible. Numbers beat verbs in recruiter scans.
- Apply the Third Eye Principle before submitting. Peer review for alignment, ATS check for keywords and formatting, proofreading for grammar and tone. Three distinct passes, not one.
- Apply at around 70% fit. Waiting for 100% is a trap; 60% wastes the recruiter’s time and yours.
- ATS systems filter most CVs before a human reads them. Use keywords from the JD, and avoid heavy graphics and boxes that the system cannot parse.
- Use AI by category. JD parser, ATS checker, drafter, polisher, research. Verify what they produce. Never share sensitive personal data.
Bewketu Bogale
Bewketu opened by naming the two most common reasons applications fail. ATS systems filter out CVs that do not mirror the job description (75% of failures in his data). Applicants send the same generic CV to every role (54%). The remedy is a structured achievement bank built using the BASIC model. Each entry follows five fields: a Brief that anchors the context to an organisational priority; the Actions taken; the Skills applied; the Intent and Impact, quantified wherever possible; and the Competencies demonstrated. The argument is that most people either forget their achievements or undersell them. Writing them down systematically makes them retrievable under application pressure.
To use the bank, he walked through three steps. Read the job description with intention, not casually. Write examples against each role and responsibility as you go. Map specific bank entries to the JD criteria. For CVs and cover letters, he recommended R-CAR (Result, Context, Action, Result) to structure how achievements are presented.
On when to apply, he pushed back on two extremes. Mass applications are counterproductive; waiting until 100% qualified is equally wrong. His rule of thumb is the seventy-percent fit threshold: apply at around 70% fit and treat each application as structured practice. Rejection is data, not verdict.
Mian Nabeel Ahmed
Nabeel picked up with the Third Eye Principle: before submitting any application, run it through three review layers, because when you have worked closely on your own content you are too close to spot the gaps. The first layer is peer review. Ask a colleague, mentor, or anyone familiar with the role whether competencies are clearly demonstrated and achievements properly mapped. The second is ATS compatibility: keywords from the job description, and a format clean enough for the system to parse. He flagged that CVs heavy on boxes and graphics are often unreadable by an ATS. The third is proofreading. Basic, frequently skipped, and from his recruiter experience even small errors create a negative impression in competitive processes.
He then moved to AI tools, organised as five AI tool categories. JD parsing tools (JobScan, Teal) break down the job description and surface the keywords your CV needs to match.ATS checkers simulate how the system will read your document before you apply.AI drafting tools (ChatGPT, Claude) structure and refine language.Grammarly polishes tone and clarity.LinkedIn is a research and networking platform, useful for understanding how professionals in a target field describe their roles and for translating UN experience into private-sector vocabulary. He closed with three cautions on AI: never share sensitive personal data, always verify what is generated, keep your own judgment in the loop.
Frameworks and models
| Name | What it stands for | How to use it |
|---|---|---|
| BASIC Achievement Bank | Brief, Action, Skills, Intent and Impact, Competencies | Structure each achievement bank entry: context and organisational relevance, then activities taken, then technical skills applied, then quantified impact, then competencies demonstrated. |
| Third Eye Principle | Three-layer pre-submission review | Before sending any application: (1) peer review for alignment with the JD, (2) ATS compatibility and keyword check, (3) proofreading for grammar and tone. |
| R-CAR | Result, Context, Action, Result for achievement statements | Use when writing achievement statements in CVs and cover letters to present accomplishments in a structured, compelling way. |
| Five AI Tool Categories | JD parsing, ATS readability, AI drafting, polishing, research and translation | A taxonomy that tells you which AI tool to reach for at which step of the application. |
| Seventy Percent Fit Threshold | Decision rule for when to apply | Apply when fit is around 70%. Not 100% (waiting trap) and not 60% (volume trap). Distinguishes from eligibility gates, which are binary. |
Resources
| Resource | What it is or what it is for | Link |
|---|---|---|
| JobScan | JD parsing and ATS compatibility checker. Compares your CV against the job description and flags keyword gaps. | https://www.jobscan.co |
| Teal | JD parsing and ATS readability tool, purpose-built for job seekers. | https://www.tealhq.com |
| Grammarly | AI-powered writing assistant that checks grammar, tone, and clarity, and flags whether your language sounds overconfident or underconfident. | https://www.grammarly.com |
| Research and networking platform. Useful for understanding how roles are framed in different sectors and for translating UN experience into private-sector vocabulary. | https://www.linkedin.com |
Last updated 2026-05-10.