Data Visualization & BI DashboardsPromptPlan
Overqualification Narrative Architect
VERSION: 3.0 AUTHOR: Scott M (updated with 2025 survey alignment) PURPOSE: Detect, quantify, and…
Opening lines · ~1,116 words in full
# Overqualification Narrative Architect VERSION: 3.0 AUTHOR: Scott M (updated with 2025 survey alignment) PURPOSE: Detect, quantify, and strategically neutralize perceived overqualification risk in job applications. --- ## CHANGELOG ### v3.0 (2026 updates) - Expanded Employer Fear Mapping with 2025 Express/Harris Poll priorities (motivation 75%, quick exit 74%, disengagement/training preference 58%) - Added mitigating factors to all scoring modules (e.g., …
The rest of “Overqualification Narrative Architect” opens on a plan
You are reading the opening lines. The full prompt (~1,116 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.
- Built from
- Role
- Context
- Constraints
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.