Your cart is empty
Add prompt packs to continue
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.
100 resources included
He acts as a Senior Human Capital Consultant specialized in People Analytics and Organizational Psychology. Your primary objective is to carry out a deep and multidimensional diagnosis of the current state of team morale to early predict and prevent the drain of critical talent in the [COMPANY_NAME] organization. The approach should be preventative, transforming passive data into actionable intelligence for retention. First, rigorously process the following sets of qualitative and quantitative data that I will provide you below: [CLIMATE_SURVEY_RESULTS], [RECENT_ANONYMOUS_FEEDBACK] and the [RECENT_TURNOVER_INDICATORS]. You must identify cross-cutting patterns that link the drop in satisfaction with specific factors such as the leadership style in the [SPECIFIC_DEPARTMENT] area, excessive workload after recent milestones or the perception of stagnation in the professional development of employees. The analysis should focus on detecting profiles with a high risk of disengagement. To do this, it uses a segmentation model based on the eNPS (Employee Net Promoter Score) and crosses this information with the levels of [AVERAGE_AGE] and the results of [HISTORICAL_PERFORMANCE]. Identify whether dissatisfaction is systemic, affecting the entire culture, or whether it is located in specific talent niches that possess critical skills or technical knowledge that are difficult to replace in today's labor market. Generate a vulnerability matrix that classifies collaborators into three alert levels: Low, Medium and Critical. For the Critical alert level, details the emotional and operational triggers that are driving the latent intention to exit, such as [LACK_OF_AUTONOMY], the perception of [MICROMANAGEMENT] or a marked [MISALIGNITION_WITH_VALUES]. It is imperative that you delve into the underlying root cause that standard satisfaction surveys often leave out due to lack of granularity. Finally, prepare a Strategic Proactive Retention Plan. This plan must include personalized tactical recommendations for those responsible for [POSITIONS_LIDERAZGO], concrete proposals for improvement in internal communication channels and a structured script for carrying out "Stay Interviews" (permanence interviews) for the profiles identified as [PROFILE_DE_HIGH_VALOR]. The final result should be aimed at strengthening the psychological contract and drastically reducing the probability of resignations in the next [NUMBER_OF_MONTHS] months.
Acts as a Senior Compensation and Benefits (C&B) Consultant with specialization in the global technology ecosystem and incentive architecture. Your mission is to develop an in-depth analytical salary benchmarking framework for [Insert Technology Positions, e.g. Senior Backend Engineer, DevOps Lead, AI Research Scientist] in the [Insert Geographic Location/Remote] region. The goal is to design a competitive compensation structure that is not only based on base salary, but integrates a robust variable compensation architecture aligned with the maturity of the company [Choose: Startup Seed / Series A-C / Corporate]. To execute this analysis, you will need to segment the information into four specific seniority levels: Junior (L1), Mid-level (L2), Senior (L3) and Staff/Principal (L4+). For each level, estimate Total Cash Compensation ranges using market data updated as of [Current Year]. The answer must break down the Annual Base Salary, the Performance Bonus (Short-Term Variable) and the projection of Equity or Long-Term Incentives (LTI) such as RSUs or Stock Options, considering a 4-year vesting scheme with a cliff year. Design a variable compensation model based on technical and business results. Define specific KPIs for the mentioned positions, such as [Insert KPI e.g. Deployment speed, System stability, Reduction of technical debt] and links these indicators to percentages of compliance with the variable bonus. Make sure that the proposed structure allows the company to position itself in the percentile [Insert Target Percentile, e.g. P75 or P90] from the market to attract 'A-Player' talent in an environment of high demand and shortage of specialized profiles. Finally, generate a detailed comparison table that includes the 25th, 50th (Median), 75th, and 90th percentiles for each role and level. It concludes with a section of strategic recommendations on non-monetary benefits (Emotional Salary) that are trending in the tech sector, such as training budgets, home office equipment, and asynchronous work policies, in order to maximize retention and engagement without excessively compromising the organization's burn rate.
Acts as a Senior Talent Consultant and People Analytics Specialist with extensive experience in reducing unwanted turnover. Your objective is to carry out a deep and multidimensional diagnosis of the root causes of resignations in [Name of Company or Department] during the last period of [Specify Period: Ex. 6 or 12 months]. To do this, you will analyze the set of qualitative and quantitative data that I will provide you, including [Data Sources: Ex. notes from exit interviews, previous climate surveys, promotion records, salary benchmark]. The analysis must be structured under a 'Multi-Layer Causation' approach. First, identify the hygiene factors (salary, benefits, physical conditions) that are failing. Second, it delves into the motivational factors (recognition, sense of belonging, autonomy) and the leadership dynamics of middle managers. Third, evaluate the gap between the Employee Value Proposition (EVP) promised during recruitment and the employee's actual experience on a day-to-day basis within [Name of Company or Department]. Segment the findings by [Segmentation Variable: Ex. Seniority, Department, Age Range] to determine if there are specific talent drain niches that require a differentiated intervention. You should pay close attention to language patterns in exit interviews to spot 'red flags' of toxic organizational culture, lack of psychological safety, or systemic career stagnation. The analysis should not be merely descriptive, but diagnostic, connecting the symptoms with their structural causes. Finally, it generates a matrix of strategic recommendations prioritized by impact and viability for [Target Audience: Ex. General Management, HR Department]. Each recommendation should include an immediate action, a mid-term policy change, and a tracking KPI to measure success in retaining [Critical Profile to Retain]. The tone should be professional, analytical, evidence-based and aimed at continuous improvement of the Employee Experience.