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🔍 Deep Research

Research Advanced

Comprehensive Topic Research

Get a complete research briefing on any topic with multiple perspectives.

You are a research analyst who creates executive briefings for Fortune 500 CEOs. Create a comprehensive research briefing on: [TOPIC] **MY CONTEXT:** - Why I need this: [PURPOSE - DECISION / LEARNING / PRESENTATION] - My current knowledge level: [BEGINNER / INTERMEDIATE / EXPERT] - Time I have: [5 MIN / 15 MIN / 30 MIN READ] Structure the briefing: 1. **EXECUTIVE SUMMARY** (2-3 sentences) - What is it - Why it matters now - Key takeaway 2. **BACKGROUND & CONTEXT** - Origin/history (brief) - Current state - Key players/stakeholders 3. **CORE CONCEPTS** - The 3-5 essential things to understand - Explain like I'm smart but unfamiliar 4. **MULTIPLE PERSPECTIVES** - Bulls: Why proponents are excited - Bears: Why critics are skeptical - Neutral: Balanced assessment 5. **DATA & EVIDENCE** - Key statistics - Notable case studies - Research findings (note: cite what you know, acknowledge gaps) 6. **IMPLICATIONS** - Who is affected - Short-term vs long-term impact - What to watch for 7. **ACTION ITEMS** - What should I do with this information - Resources for deeper learning - Experts/sources to follow 8. **KNOWLEDGE GAPS** - What's uncertain or contested - Questions that don't have clear answers yet
Research Intermediate

Compare & Contrast Analysis

Systematically compare options, technologies, or approaches.

You are an analyst who helps people make informed decisions by comparing options objectively. Compare the following options: [OPTION A] vs [OPTION B] (vs [OPTION C] if applicable) **CONTEXT:** - Decision I'm making: [WHAT ARE YOU TRYING TO DECIDE] - My priorities: [WHAT MATTERS MOST TO ME] - Constraints: [BUDGET / TIME / TECHNICAL / OTHER] Provide a structured comparison: 1. **QUICK VERDICT** - One-sentence recommendation - "Choose X if... Choose Y if..." 2. **COMPARISON TABLE** | Criteria | Option A | Option B | |----------|----------|----------| | [Criteria 1] | Rating/Detail | Rating/Detail | Include these criteria: - Cost (initial + ongoing) - Ease of use / learning curve - Features / capabilities - Scalability - Community / support - Maturity / stability - [Custom criteria relevant to my context] 3. **DETAILED ANALYSIS** For each option: - Best for: [ideal use case] - Strengths (top 3) - Weaknesses (top 3) - Hidden considerations 4. **DEAL-BREAKERS** - When to definitely NOT choose each option - Red flags to watch for 5. **RECOMMENDATION** - Based on my stated priorities - Confidence level (high/medium/low) - What additional info would change the recommendation

⚔️ Competitive Analysis

Competitive Advanced

Competitor Deep Dive

Analyze any competitor's strategy, strengths, and vulnerabilities.

You are a competitive intelligence analyst who uncovers strategic insights that inform business decisions. Conduct a deep competitive analysis of: [COMPETITOR NAME] **MY COMPANY/CONTEXT:** - We are: [BRIEF DESCRIPTION OF YOUR BUSINESS] - We compete with them on: [PRODUCTS / MARKETS / CUSTOMERS] - My goal: [FIND WEAKNESSES / LEARN FROM THEM / DIFFERENTIATE] Analyze: 1. **COMPANY OVERVIEW** - What they do (core business) - Target market - Estimated size (revenue, employees, customers) - Funding/ownership 2. **PRODUCT/SERVICE ANALYSIS** - Core offerings - Pricing strategy - Key differentiators - Recent launches/changes 3. **MARKET POSITIONING** - Brand perception - Target customer profile - Value proposition - Market share estimate 4. **STRENGTHS** (Top 5) - What they do better than anyone - Competitive advantages - Resources/capabilities 5. **WEAKNESSES** (Top 5) - Where they fall short - Customer complaints (from reviews, forums) - Gaps in their offering 6. **STRATEGY ANALYSIS** - Growth strategy (how they're expanding) - Marketing approach - Sales model - Partnership strategy 7. **OPPORTUNITIES TO EXPLOIT** - How we can differentiate - Weaknesses we can target - Markets they're ignoring 8. **THREATS TO MONITOR** - Their likely next moves - How they might counter us - Industry trends favoring them Note: This analysis is based on publicly available information and general knowledge. Verify critical facts independently.
Competitive Advanced

Market Landscape Mapping

Map all players in a market with their positioning and strategies.

You are a market research analyst who creates comprehensive industry maps. Map the competitive landscape for: [MARKET/INDUSTRY] **SCOPE:** - Geographic focus: [GLOBAL / REGION / COUNTRY] - Market segment: [SPECIFIC NICHE IF APPLICABLE] - Time frame: [CURRENT STATE / INCLUDE EMERGING PLAYERS] Create a complete market map: 1. **MARKET OVERVIEW** - Market size and growth rate - Key drivers and trends - Typical customer journey 2. **PLAYER CATEGORIES** **Category Leaders:** - Top 3-5 established players - Their market position and share **Challengers:** - Growing companies disrupting the status quo - What makes them different **Niche Players:** - Specialists in specific segments - Their unique focus **Emerging/Startups:** - New entrants to watch - Novel approaches 3. **POSITIONING MAP** Plot players on 2 axes: - Axis 1: [E.G., PRICE: LOW→HIGH] - Axis 2: [E.G., FEATURES: BASIC→COMPREHENSIVE] (Describe positioning, since I can't show a visual) 4. **COMPETITIVE DYNAMICS** - Current battlegrounds - Where competition is heating up - Consolidation trends 5. **WHITE SPACE ANALYSIS** - Underserved segments - Gaps in current offerings - Opportunities for new entrants 6. **FUTURE OUTLOOK** - Predicted changes in 2-3 years - Potential disruptors - Risks to current leaders

📊 Data Analysis

Data Analysis Advanced

Data Interpretation & Insights

Extract meaningful insights from raw data or reports.

You are a data analyst who finds actionable insights that others miss. Analyze this data and extract insights: **DATA:** ``` [PASTE YOUR DATA - TABLES, NUMBERS, SURVEY RESULTS, ETC.] ``` **CONTEXT:** - What this data represents: [DESCRIBE] - Time period: [WHEN WAS THIS COLLECTED] - Business question: [WHAT AM I TRYING TO ANSWER] Provide: 1. **DATA QUALITY CHECK** - Any obvious issues (missing values, outliers, inconsistencies) - Caveats for interpretation 2. **KEY FINDINGS** (Top 5) - Finding: [What the data shows] - Significance: [Why it matters] - Confidence: [How certain we are] 3. **TRENDS & PATTERNS** - What's increasing/decreasing - Correlations observed - Seasonal patterns (if applicable) 4. **ANOMALIES** - Unusual data points - Possible explanations - Worth investigating further 5. **SEGMENT ANALYSIS** - How different groups compare - Best and worst performers - Surprising differences 6. **BENCHMARKING** - How this compares to typical/expected values - Industry context (if you can provide it) 7. **ACTIONABLE RECOMMENDATIONS** - Based on the data, I should... - Prioritized by impact 8. **FOLLOW-UP QUESTIONS** - What additional data would be helpful - Deeper analyses to consider
Data Analysis Intermediate

Survey Response Analyzer

Make sense of survey data and open-ended responses.

You are a research analyst specializing in qualitative and quantitative survey analysis. Analyze these survey responses: **SURVEY DATA:** ``` [PASTE YOUR SURVEY RESPONSES] ``` **SURVEY CONTEXT:** - Purpose: [WHY WE RAN THIS SURVEY] - Respondent profile: [WHO TOOK IT] - Sample size: [NUMBER OF RESPONSES] Provide: 1. **QUANTITATIVE SUMMARY** (For rating/multiple choice questions) - Distribution of responses - Average scores - Notable patterns 2. **QUALITATIVE THEME ANALYSIS** (For open-ended responses) - Top themes identified (with frequency) - Representative quotes for each theme - Sentiment analysis (positive/negative/neutral) 3. **KEY INSIGHTS** - What respondents care about most - Pain points and frustrations - Unexpected findings 4. **SEGMENT DIFFERENCES** - Do different groups respond differently? - Notable variations 5. **PRIORITY MATRIX** - What to address first (high frequency + high impact) - Quick wins - Long-term improvements 6. **RECOMMENDATIONS** - Based on feedback, we should... - Language to use (based on how respondents talk) 7. **METHODOLOGY NOTES** - Potential biases in responses - Gaps in the survey design - Suggestions for follow-up research

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