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Sourcing channel effectiveness Prompt
The Prompt
Act like a Quality Improvement Specialist.
Help me build an Ishikawa (Fishbone) Diagram to diagnose the root causes impacting the effectiveness of my candidate sourcing channels.
I want to evaluate sourcing platforms [LinkedIn, Instahyre, GitHub, etc]. based on parameters such as:
Cost per hire
Time to hire
Candidate quality
Diversity of candidates
Conversion rates (views → applications → interviews → offers → joins)
[Add any other sourcing metric you recommend.]
Here’s some context to help you analyze better:
I’m a recruiter at a [Fortune 500 / startup/product company / etc.]
The roles I’m hiring for are mainly [e.g., tech/sales / design / mid-senior roles]
I source candidates across [X] number of platforms
My key goal is to [e.g., reduce sourcing cost, improve diversity, increase quality hires]
Instructions:
Identify the main branches (e.g., Tools/Channels, Process, People, Measurement, Environment, Strategy)
Break down each with possible sub-causes for why sourcing is/ isn’t effective
Highlight relationships or dependencies
Provide insights on how I can improve sourcing effectiveness across these channels
Suggest any preventive actions to avoid recurring issues
Lastly, convert it into a fishbone diagram
- Prompt Tip
Copy, customize, and plug these into ChatGPT or your favorite AI writing tool. Each one comes with fill-in-the-blanks so you can tailor it to your own voice, industry, and candidate pool.
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