Add-On Prompting
Add-on prompting involves using additional information or context to enhance the initial prompt and get a more detailed or accurate response.
Based on the candidate's experience, could you provide additional insights on how their skills align with our company's values?
Chain-of-Density (CoD) Prompting
CoD prompting focuses on creating detailed and high-quality summaries by incrementally refining the content through multiple steps.
Summarize the candidate’s professional achievements, emphasizing the most significant contributions in each role.
Chain-of-Reasoning (CoR) Prompting
Chain-of-Reasoning prompting guides the AI to use logical reasoning steps to arrive at a conclusion, enhancing the depth and coherence of responses.
Explain the reasoning behind why this candidate's experience makes them suitable for the role, step by step.
Chain-of-Thought (CoT) Prompting
CoT prompting involves instructing the AI to think step-by-step, breaking down the problem into smaller parts to enhance understanding and accuracy.
List the steps you would take to verify the candidate's educational qualifications in a step-by-step manner.
Chain-of-Thought Factored Decomposition Prompting
This supplements CoT by explicitly directing the AI to generate a series of sub-questions and sub-answers to delve deeper into the main topic.
Break down the key competencies required for the role and assess how well the candidate meets each one individually.
Comparative Analysis Prompting
Comparative analysis prompting involves asking the AI to compare and contrast different items, enhancing critical evaluation.
Compare the project management skills of Candidate A and Candidate B based on their past job roles.
Conversational Prompting
Conversational prompting involves engaging the AI in a dialogue, asking follow-up questions based on previous answers to build a more comprehensive response.
Can you elaborate on your project management experience, particularly your role in the last major project you handled?
Deep Dive Prompting
Deep dive prompting encourages the AI to explore a topic in depth, providing comprehensive insights.
Conduct a deep dive into the candidate's research experience and its relevance to our current projects.
End-Goal Prompting
End-goal prompting focuses on defining the ultimate objective and aligning the AI’s responses to achieve that specific outcome.
Our goal is to find a candidate who can lead the team to new heights. How does this candidate measure up in terms of leadership qualities?
Expansive Prompting
Expansive prompting involves encouraging the AI to elaborate on its responses, providing more detail and depth.
Can you expand on the candidate's experience with managing cross-functional teams?
Generating Prompts Via Generative AI
This involves using generative AI to create effective prompts, enhancing the quality and relevance of the generated prompts.
Can you generate a list of insightful interview questions for a senior data scientist position?
Hypothetical Question Prompting
Hypothetical question prompting involves posing hypothetical scenarios to explore potential outcomes or responses.
How might the candidate handle a situation where they need to mediate a conflict between team members?
Kickstart Prompting
Kickstart prompting involves an initial prompt that sets the stage for subsequent queries, helping to guide the AI in a particular direction.
To get started, could you outline the main objectives for this role within the first six months?
Retrieval-Augmented Generation (RAG) Prompting
RAG prompting combines external data with the AI’s responses to enhance the relevance and accuracy of the information provided.
Use external data sources to augment the candidate's profile with additional context about their industry experience.
Scenario-Based Prompting
Scenario-based prompting presents hypothetical situations to the AI to explore different outcomes or solutions.
Given a scenario where the candidate faces a tight deadline, how might they prioritize their tasks?
Skeleton-of-Thought (SoT) Prompting
SoT prompting involves creating an outline or skeleton of thoughts before generating a detailed response.
Create an outline of the candidate’s career progression, highlighting key achievements and milestones.
Target-Your-Response (TAYOR) Prompting
TAYOR prompting involves specifying the desired style or focus of the AI’s response to align with particular needs.
Tailor your feedback to address the candidate's specific strengths and areas for improvement.
Tree-of-Thoughts (ToT) Prompting
ToT prompting involves exploring multiple lines of thought to find the best path to the desired outcome.
Explore multiple potential career paths for the candidate and determine which aligns best with the company’s goals.