3d β’ General discussion
Deep Research Report Prompt Generation
What is your strategy for making the ultimate deep research report prompt that outputs the ultimate deep research report?
In this post, you can respond to the following questions:
- Is it accurate to state that a better prompt leads to a better deep research report?
- Do you think a shorter prompt or a longer prompt is better?
- Do you have to command character limits? Are there optimal character limits?
- How much autonomy/authority should you give chat to generate an output?
The next questions are about the example below:
- What do you think about my prompt? The length? The contents?
- Is my prompt an effective prompt?
- Should I have used a character limit for the output?
- Did I give chat too much authority?
- What do you think of the output? The length? The contents?
- Is the "Required Structure of the Report" the best (or ultimate) way to present this information?
- How important are the guidance sections? Role & Mindset, Research Objectives, Scope & Definitions, Research Standards & Constraints, Output Requirements, Final Instruction
- Is the output prompt an effective prompt?
Here is an example of a prompt to generate a deep research report prompt for a market landscape:
"
me
I plan to do a deep research about the edtech industry and market
your task is to draft the ultimate deep research prompt for the ultimate deep research report
chat
Below is a high-impact, copy-paste-ready βultimate deep research promptβ you can use with any advanced research model, analyst team, or AI deep-research mode. It is designed to force breadth + depth + rigor, minimize fluff, and produce a decision-grade EdTech market report.
Ultimate Deep Research Prompt: EdTech Industry & Market
Role & Mindset
You are acting as a top-tier EdTech industry analyst and strategy consultant (ex-McKinsey / BCG / HolonIQ / GSV Ventures), commissioned to produce a definitive, investment- and strategy-grade deep research report on the global Education Technology (EdTech) industry.
Your output must be data-driven, structured, critical, and insight-dense, avoiding generic commentary. Every section should answer βso what?β and βwhat does this imply for decision-makers?β
Research Objectives
Produce a comprehensive deep research report that:
- Maps the current state of the global EdTech market
- Analyzes market size, growth, segmentation, and economics
- Identifies key players, business models, and value chains
- Evaluates technological, pedagogical, regulatory, and demographic drivers
- Assesses regional dynamics and differences
- Highlights emerging trends, disruptions, and future scenarios
- Provides clear strategic implications for:
- Founders & operators
- Investors
- Corporates & institutions
- Policymakers & educators
Scope & Definitions
- Clearly define EdTech and its boundaries(K-12, Higher Education, Corporate/L&D, Lifelong Learning, Test Prep, Tutoring, LMS, MOOCs, AI tutors, creator economy, credentialing, etc.)
- Distinguish B2B, B2C, B2B2C, and public sector models
- Include digital, hybrid, and AI-native education solutions
Required Structure of the Report
1. Executive Summary (Insight-First)
- Key findings (bullet-pointed)
- Market inflection points
- 3β5 non-obvious insights
- Strategic takeaways
2. Global Market OverviewMembership
- Current global market size (latest available data)
- Historical growth (5β10 years)
- Forecasts (5β10 years) with assumptions
- Comparison to adjacent markets (HR Tech, SaaS, Media, AI)
3. Market Segmentation (Deep Dive)
Break down by:
- Learner segment (K-12, Higher Ed, Workforce, Lifelong)
- Customer type (individuals, institutions, enterprises, governments)
- Product category (content, platforms, services, AI tools)
- Delivery model (synchronous, asynchronous, blended)
- Revenue model (subscription, licensing, freemium, outcomes-based)
Include:
- Relative size & growth rates
- Profitability dynamics
- Buyer vs user mismatch where relevant
4. Regional & Geographic Analysis
Cover at minimum:
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa
For each:
- Market maturity
- Growth drivers
- Local constraints (regulation, culture, infrastructure)
- Notable regional champions
5. Value Chain & Ecosystem Mapping
- Content creation
- Platform & infrastructure
- Distribution & go-to-market
- Credentialing & assessment
- Employers / institutions / governments
Identify:
- Power concentration
- Margin capture
- Bottlenecks & inefficiencies
6. Competitive Landscape
- Major global players
- Key regional players
- Startups vs incumbents
- Big Tech involvement (e.g., AI, cloud, platforms)
Analyze:
- Positioning & differentiation
- Moats (data, network effects, switching costs)
- Consolidation trends (M&A, roll-ups)
7. Technology & Innovation Analysis
- AI (tutors, assessment, content generation)
- Data & analytics
- AR/VR & immersive learning
- Credentialing (micro-credentials, blockchain)
- Interoperability & standards
Assess:
- What is hype vs real adoption
- Time-to-impact
- Barriers to scale
8. Pedagogical & Learning Science Perspective
- Alignment (or misalignment) with learning science
- Outcomes vs engagement tradeoffs
- Human-in-the-loop vs automation
- Teacher & instructor role evolution
9. Regulation, Policy & Public Sector Dynamics
- Accreditation
- Data privacy (FERPA, GDPR, etc.)
- Public procurement
- Government-led EdTech initiatives
10. Economics & Unit Economics
- CAC vs LTV dynamics
- Retention challenges
- Completion & outcome metrics
- Institutional vs consumer margins
11. Investment & Funding Landscape
- Venture funding trends (historical + recent)
- Valuation multiples
- Exit patterns (IPOs, M&A)
- Cyclicality & macro sensitivity
12. Key Trends & Future Outlook
- Structural vs cyclical trends
- Scenario analysis (bear / base / bull)
- What the EdTech market may look like in 5β10 years
13. Strategic Implications & Recommendations
For each stakeholder:
- Founders
- Investors
- Incumbent education institutions
- Employers
- Policymakers
Include:
- Opportunities
- Risks
- Strategic doβs & donβts
Research Standards & Constraints
- Use credible, recent sources (market reports, government data, earnings, reputable industry analysts)
- Clearly separate facts, estimates, and opinions
- Flag uncertainty and data gaps
- Avoid marketing language
- Prefer tables, frameworks, and comparative analysis
- When data conflicts, explain why
Output Requirements
- Write in clear, professional, analytical language
- Use structured headings and subheadings
- Include concise bullet points where appropriate
- Prioritize insight over volume
- Assume an expert, time-constrained reader
Final Instruction
Do not produce a shallow overview.This report should feel like the definitive EdTech market reference that could inform:
- a $100M investment decision
- a national education strategy
- or a venture-backed startup roadmap
If you want, next I can:
- Adapt this prompt for investors only, startup founders, or policy research
- Convert it into a research checklist or Notion template
- Turn it into a multi-agent research workflow (market, tech, policy, finance agents)
Just tell me.
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Deep Research Report Prompt Generation
