Your cart is empty
Add prompt packs to continue
Copy, paste and use them in your favorite AI:
Just $0.08 per prompt · one-time payment
100 resources included
This engineering collection of prompts represents the definitive frontier in strategic HR automation. Meticulously designed by instructional design experts, each tool allows you to transform raw data into high-impact executive decisions, optimizing the employee life cycle from initial attraction to institutional exit. It is the indispensable resource for the modern recruiter seeking to maximize analytical precision and operational efficiency. By integrating these models into their workflow, human capital professionals will be able to generate technical documentation, performance reports, and evaluation systems with a depth previously unattainable. This digital ecosystem eliminates administrative friction, enabling a focused approach to organizational strategy and talent development, ensuring measurable results that drive corporate growth in a scalable manner.
He acts as a Senior Talent Strategy Consultant and Human Capital Analyst with specialization in 360 Degree Feedback Evaluation processes. Your objective is to process a volumetric set of qualitative and quantitative data from multiple evaluators (superiors, peers, subordinates and self-assessments) to carry out a precise synthesis under the title: 'Identification of detected transversal strengths'. This analysis should not be limited to averaging scores, but rather to finding semantic and behavioral patterns that are consistently repeated at the different levels of the evaluee's organizational hierarchy. To begin, analyze the following data inputs: [DATOS_CRUDOS_FEEDBACK_360]. Uses the competency framework defined in [MARCO_COMPETENCIAS_ORGANIZACIONAL] as a basis for comparison. Your task is to identify those skills or character traits that appear as strong strengths on a recurring basis, regardless of who the evaluator is. You should pay special attention to 'inter-rater consistency', noting where there is unanimous consensus about the employee's high performance in specific areas such as leadership, communication, resilience or strategic thinking. The final deliverable must be structured as follows: 1. Strengths Consensus Matrix (identifying the strength and degree of agreement between the groups of evaluators). 2. Contextual Evidence: select paraphrased fragments of the comments that validate each strength detected without revealing the identity of the evaluators. 3. Cross-Cutting Impact: Explain how these specific strengths are currently contributing to the [NOMBRE_DEPARTAMENTO] department's goals and the company's overall culture. Finally, develop a 'Leverage Potential' section. In this part, you must propose how the collaborator can use these already consolidated transversal strengths to mitigate their areas of opportunity or to assume new roles of greater responsibility within the organization. Make sure the tone is professional, encouraging and based strictly on the evidence extracted from the analyzed feedback, avoiding assumptions that are not supported by the data provided in [INPUT_ADICIONAL_CONTEXTO]. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
Instant access after purchase from your dashboard. Just copy and paste into your AI.
ChatGPT, Claude, Gemini, DeepSeek, Grok, Qwen and any AI chat.
Yes. Every prompt includes bracketed fields where you insert your own information, context and specifics, so they fit your situation, country or industry.
Yes. Above you can read full sample prompts, exactly as you'll receive them, to check the quality before paying.
Yes. Pay once and they're yours forever, updates included.
He acts as a Senior Consultant in Talent Retention Strategy and People Analytics with more than 15 years of experience reducing the voluntary turnover rate in companies in the [SECTOR_EMPRESA] sector. Your goal is to develop a comprehensive early warning system to identify employees at high flight risk, specifically for the [POSITION_OR_DEPARTMENT] role, where retention is critical to business continuity. To begin the analysis, consider the following behavioral pillars: 1. Changes in communication dynamics (silence in meetings, delay in responses, transactional tone); 2. Alterations in productivity and engagement (strict compliance with the schedule without proactivity, decrease in the quality of deliverables); 3. Social behaviors (isolation from the team, less participation in unofficial events) and 4. External signals (recurrent updating of the profile in professional networks, frequent use of personal permissions). Generates a detailed 'Attrition Prediction Matrix'. This matrix must categorize the signals into three levels: 'Subtle' (Initial signs of demotivation), 'Active' (Obvious changes in daily behavior) and 'Critical' (Actions that precede resignation in less than 30 days). For each signal detected in [TEAM_SPECIFIC_CONTEXT], define a hypothesis about the root cause (e.g. lack of growth, burnout, misalignment with leadership or lack of salary equity) and propose a preventive action plan for the manager. Finally, design a customized 'Stay Interview' protocol for an employee showing signs of 'Active' level. The protocol should include non-intrusive empathetic probing questions, active listening techniques to identify exit triggers, and a [AVAILABLE_VALUES_OR_BENEFITS] negotiation scheme to re-engage key talent before they receive an external offer. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
It acts as a high-precision Algorithmic Portfolio Assessment System (SEAP), designed specifically for the Human Resources department in the technical screening phase. Your main objective is to carry out an exhaustive and objective audit of the projects presented in the digital portfolio of [Candidate Name] for the position of [Position Profile]. You must analyze each piece of work not only for its aesthetics, but for its technical feasibility, complex problem solving, and alignment with current industry standards in [Specific Sector]. For each project identified in the portfolio, apply an evaluation matrix that considers the following pillars: 1) Technical complexity (depth of the challenges addressed), 2) Quality of execution (cleanliness in the code, information architecture or design principles applied), 3) Impact and results (metrics achieved or specific problems solved) and 4) Innovation (use of emerging technologies or unusual creative approaches). It is imperative that you ignore subjective elements and focus on tangible evidence present in the files or descriptions provided. Processes information using a weighted scoring approach based on the critical requirements of our vacancy: [Insert Critical Requirements]. If the candidate presents projects on platforms such as GitHub, Behance or personal sites, evaluate the consistency between what was promised and what was executed. Identify whether the work is collaborative or individual and, in the first case, try to discern the author's specific contribution if it is documented. The analysis must be critical and devoid of confirmation bias, seeking technical excellence over the number of pieces. Finally, generate an output report that ranks the portfolio on a scale of 1 to 10 compared to the market benchmark for the [Seniority Level] level. The report must include a comparative table of the three most relevant projects, highlighting the tools used such as [Technological Stack Required] and their relevance to the strategic objectives of our organization in the short term. It concludes with a recommendation of 'Suitable', 'Suitable with Observations' or 'Not Suitable' for the technical interview phase. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
It's a master instruction, optimized for AI.
Prompt
your instruction
AI
Result
Based on 13 reviews
Exactly what I was looking for. The quality of the answers I get improved a lot. An investment that pays for itself.
Good value for money. The prompts are useful and practical. I recommend it.
Very good material. They adapt well with a few tweaks. Came close to a five.
Happy with the purchase. Most of them worked on the first try. I recommend it.
Very good material. They adapt well with a few tweaks. I recommend it.
Happy with the purchase. The organization helps you get oriented fast. I recommend it.
Exceeded my expectations. The prompts are really well thought out and the effort shows. Already recommended them to my team.
Exceeded my expectations. The quality of the answers I get improved a lot. One hundred percent recommended.
Decent for the price. I had to tweak them quite a bit for my case. Acceptable.
I didn't expect them to be this complete. They work just as well in ChatGPT and Claude. An investment that pays for itself.
Best purchase I made this month. They work just as well in ChatGPT and Claude. Totally recommend them.
Very good material. They adapt well with a few tweaks. I recommend it.
Very good material. The prompts are useful and practical. Good option.