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AI Prompts for studying
Transform the following raw transcript into a clean, reader-friendly document **without altering or omitting any substantive content**:
1. ✂️ **Do not paraphrase, shorten, or change the speaker’s meaning.**
2. 🚫 Remove timestamps and only obvious filler words (“um”, “uh”, “you know”, “yeah”, “like” when used as a pause). Keep every other word exactly as spoken.
3. ✍️ **Fix mechanics only**
• Insert missing spaces.
• Correct clear spelling errors.
• Add or correct punctuation where needed for clarity.
4. 📑 **Structure**
• Break long blocks into logical paragraphs.
• Add concise headings where topic shifts are clear (use Markdown ## Heading format).
• Use bullet lists or numbered steps if the speaker enumerates points.
5. 💡 Preserve speaker labels (“Interviewer:”, “Guest:”) exactly as found.
6. 🛑 Do not summarize, reorder sentences, add commentary, or infer missing text.
Return the fully-formatted transcript in docx.
Your Goal:
• Improve the transcript for clarity by removing timestamps, and only obvious filler words (e.g. “um,” “uh,” “yeah,” “you know,” etc.).
• Retain all other text exactly as it is, without paraphrasing or shortening any meaningful statements.
• Insert missing spaces and correct punctuation (periods, commas, question marks) only where needed to clarify the original text.
• Correct any clear spelling mistakes.
Important:
1. Do not remove any words except for the specified filler words.
2. Do not rephrase or condense the speaker’s meaning; preserve the original structure and content.
3. Do not change the order or substance of the text.
Here is the audio transcript attached
Act as a wise, witty and to-the-point summary specialist. Condense the provided CONTENT into bullet-points, selecting a fitting emoji for each bullet-point using the content.
Here is how you do it:
1. Analyze the content of the CONTENT and create a list of 10 most unique and helpful questions that the content is answering.
2. Then, use the CONTENT the content to create most helpful answers to each question.
3. List the summary of CONTENT as bullet-points, each on a new line.
4. Important: This summary must feature the 20% of the CONTENT that highlights the 80% of its value.
5. After that, make a section break with "***", and write 5 key stories, metaphors, symbols or archetypes from CONENT or elsewhere that explain key summary points and help memorizing.
Example:
- [Emoji] [Question 1]? [Answer to Question 1 in two sentences].
- [Emoji] [Question 2]? [Answer to Questions 2 in two sentences].
... etc.
Don't use words "Question" or "Answer".
The style of your answer should be informative, concise but exhaustive, smart, witty, and not typical to LLMs or ChatGPT, but rather more human-like. Special symbols and acronyms in English are ok.
If the text is using imperial system, convert it into metric.
Use the tone of voice and writing style of Alexey Ivanov also known as PonchikNews, as well as tone of voice of Ernest Hemingway, Simon Sinek, Adam Grant, Naval Ravikant, Seth Godin, as if they wrote the answer together.
Be approachable, use short forms and acronyms, be simple, act like you are a human when you write. Write so that it passes forensic stylography. It really should be human-like, not GPT-like output.
Think step by step.
I will give you 20 000 bonus points for every great answer.
My job depends on it, so please do the job well!
When designing research, crafting the right questions is crucial. Here’s a concise guide based on typical objectives:
1. **Clarify the Purpose**:
- What specific problem am I trying to solve?
- What do I need to learn to address this problem?
2. **Define the Scope**:
- Over what time period will the research occur?
- What geographic or demographic groups am I studying?
3. **Identify Variables**:
- What are the key variables in my research?
- How do these variables interrelate?
4. **Determine Methodology**:
- Qualitative or quantitative methods: which is more suitable?
- What data collection methods will I use (surveys, interviews, experiments)?
5. **Consider Practicalities**:
- What resources do I need?
- What are the potential ethical considerations?
6. **Set Objectives for Analysis**:
- How will I analyze the data collected?
- What statistical tools or software will be necessary?
7. **Plan for Outcomes**:
- What are my expected outcomes?
- How will I use the research findings?
Formulating questions around these points ensures your research is targeted, feasible, and impactful.
— What our research topic? (это общий предмет исследования или область поиска, с которой начинается процесс)
— What our research questions? (Вопрос (или запрос) это конкретизация темы, которая переводит ее в практическую плоскость поиска ответов) Определитесь не только с областью изучения, но и с её поисковыми границами. Перечислите как можно больше концептов, которых в вашей выдаче не должно оказаться.
On what questions we are trying to find answer?
На какие вопросы мне нужно получить ответ?
— What the goal of our research? Why we want to learn this? What for?
1. Тема задает общий контекст,
2. запросы фокусируют поиск на конкретных аспектах,
3. данные — это те фрагменты информации, которые нужно найти и обработать для получения ответа на вопросы.
Decide what kind of data we need? (Данные. это информация, которую необходимо найти и обработать для ответа на запросы.)
→ First-hand
→ Second-hand or Secondary
If chosen secondary, understand how this data might look like, and what kind of stakeholders might worked on this and developed this secondary data?
● В каких документах может быть информация, которая позволит мне дать ответы?
● Где могут располагаться эти документы?
● Как мне выйти на нужные ресурсы и документы?
Formulate research question → and Possible answer
— use key concepts, any relevant key words
Then create a separate list of object of studies, where it's happening and when what process is happening?
Then write all synonyms to this
• What decisions/functions/tasks needed to be done in order to achieve X/resolve X issue etc.?
• Who does these decisions/functions/tasks now? What kind of organizations/stakeholders (name specific organizations), and who within the organizations, like names of specific positions etc. name specific
• Why exactly they do it, like what kind o specific strengths, competencies, knowledge they have? Or they were kinda regulated with certain rules to do so? Or basically what expertise/resource that they have gave them the "license to operate" and do this functions/make decision. And from whom they have it, who gave them this legitimacy, what stakeholders?
• Try to find specific people aka real life examples how they got the decision-making, or other functions in industry/aka be able to influce toward the issue resolution?
Here's how to identify and systematize relevant literature:
Step 1: Define Key Concepts
Step 2: Search for Relevant Literature
Step 3: Literature Search Keywords
Step 4: Organize the Review
Using a table format:
**SOP TEMPLATE FOR SOLVING LEARNING EXERCISES IN A MASTER’S PROGRAM**
Use this template to standardize how you tackle assignments in various modules (e.g., Economics, Econometrics, Statistics, Quantitative/Qualitative Research Methods). Adapt as needed for each specific course and exercise.
---
### 1. **HEADER INFORMATION**
- **SOP Title**:
Example: *SOP for Econometrics Regression Assignment*
- **Module/Course**:
Example: *ECON 501: Advanced Econometrics*
- **Date/Version**:
Example: *v1.0 (DD-MM-YYYY)*
- **Status**:
Example: *Draft* or *Approved*
---
### 2. **PURPOSE & SCOPE**
- **Purpose**:
Clearly state why you need this SOP (e.g., to ensure consistent approach to solving weekly problem sets).
- **Scope**:
Specify which types of tasks it applies to (e.g., problem-solving tasks, data analysis, research design).
---
### 3. **RELEVANT REFERENCES & MATERIALS**
- **Course Syllabus / Textbook Chapters**:
List the key reading materials or textbooks relevant to the assignment (e.g., *Wooldridge: Introductory Econometrics*, Chapter 3).
- **Online Resources / Articles**:
Any academic papers, tutorials, or datasets needed.
- **Software / Tools**:
Mention required tools (e.g., R, Stata, SPSS for quantitative tasks; NVivo, Atlas.ti for qualitative tasks).
---
### 4. **ROLES & RESPONSIBILITIES**
- **Student**: Executes each step, documents results clearly.
- **Teaching Assistant / Instructor**: Provides guidance, clarification on requirements.
- **Group Members** (if applicable): Outline individual contributions in team-based assignments.
---
### 5. **DETAILED STEPS**
1. **Review Assignment Instructions**
- Read carefully for objectives, deadlines, formatting guidelines.
- Identify specific research or analytical questions.
2. **Define the Problem / Research Question**
- For *Economics/Econometrics*: Clarify the model or hypothesis (e.g., “Estimate the impact of X on Y using OLS”).
- For *Statistics*: Identify which statistical tests or techniques you’ll apply (e.g., t-test, ANOVA).
- For *Quantitative Research Methods*: Formulate clear, testable hypotheses and operationalize variables.
- For *Qualitative Research Methods*: Outline your thematic approach or coding strategy.
3. **Gather Data & Resources**
- Locate datasets or readings (e.g., official statistics, academic databases).
- Confirm data integrity (check for missing values, outliers).
- Ensure ethical compliance if gathering new data.
4. **Plan Analysis Approach**
- *Econometrics / Statistics*:
- Specify the model (e.g., linear regression, logistic regression), define the variables, set up equations.
- Identify key assumptions (e.g., no multicollinearity, normality of errors).
- *Qualitative Methods*:
- Determine coding framework, interview analysis strategy, or content analysis method.
5. **Execute Analysis / Method**
- Perform calculations (manually or using software).
- Keep track of all steps for reproducibility (scripts, versioned files).
- Validate preliminary findings (e.g., check significance, model fit).
6. **Interpret Results**
- Summarize what the output means in relation to the hypothesis or research question.
- Note any anomalies or surprising findings.
- Reference theoretical or literature context for deeper insight.
7. **Compile Final Output**
- Write a concise report or structured assignment solution.
- For quantitative tasks: include tables, graphs, or regression output.
- For qualitative tasks: provide thematic summaries, quotes, or conceptual maps.
8. **Peer/Instructor Review (Optional)**
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