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Research Methods

How Claude conducts market research for book viability assessment.

Claude Code Knowledge Pack7/10/2026

Overview

Research Methods

How Claude conducts market research for book viability assessment.

Qualitative Research (Claude performs via web search)

Competitor Discovery

Search patterns:

  • [topic] books Amazon
  • best [topic] books
  • [topic] books for [audience]
  • books like [known competitor]

What to capture:

  • Titles and subtitles (positioning signals)
  • Author names and credentials
  • Publisher (traditional vs. self-published)
  • Bestseller badges in search results
  • Publication dates (market freshness)

Review Analysis

Search patterns:

  • [book title] review
  • [book title] Goodreads
  • [topic] book recommendations Reddit

What to capture from reviews:

  • Common praise themes (what readers value)
  • Common complaints (gap opportunities)
  • Unmet needs mentioned
  • Comparisons to other books

Gap Identification

Look for patterns in complaints:

  • "I wish this book covered..."
  • "The only problem is..."
  • "Great but missing..."
  • "Not for beginners" / "Too basic"

These signal positioning opportunities.

Author Credibility Signals

Search for:

  • Author's other books
  • Author's credentials, background
  • Author's platform (podcast, newsletter, social)
  • Speaking engagements, media appearances

Assess fit between author's background and book's claims.

Market Timing

Search for:

  • Trend articles about the topic
  • Google Trends data
  • Recent news or cultural moments
  • Competing books' publication dates

Assess: Is this trending up, stable, or declining?

Quantitative Research (Human gathers, Claude analyzes)

Claude cannot directly access Amazon product pages due to technical restrictions. For quantitative data, Claude:

  1. Identifies 5-8 key competitors from qualitative research
  2. Generates pre-filled CSV with titles and URLs
  3. Provides Amazon Field Guide (see references/amazon-field-guide.md)
  4. User fills in: BSR, prices, reviews, rating, pages, KU status
  5. Claude analyzes the completed data

Quantitative Indicators

BSR Analysis:

  • Average BSR across competitors = demand signal
  • BSR spread = market consistency
  • Low BSR + high reviews = proven demand

Price Analysis:

  • Price range establishes market expectations
  • Median price = likely sweet spot
  • Outliers may indicate premium positioning

Review Velocity:

  • Reviews ÷ months since publication ≈ monthly review rate
  • Higher velocity = active market

KU Saturation:

  • High KU presence = readers expect free access
  • Low KU presence = opportunity or signal of premium market

Synthesis

Combine qualitative and quantitative findings:

SignalPositiveNegative
BSRUnder 50K averageOver 100K average
ReviewsMany, with clear complaint patternsFew, or no clear gaps
CompetitionDifferentiation possibleCrowded, no white space
TimingTrending or stable evergreenDeclining interest
CredibilityAuthor fits the topicCredibility gap
PlatformExisting audienceStarting from zero

Limitations

Claude cannot access:

  • Amazon product pages directly
  • Real-time BSR data
  • Exact sales figures
  • KDP category structure
  • Kindle Unlimited royalty rates

Claude can assess:

  • Market presence and positioning
  • Review sentiment and gaps
  • Author-market fit
  • Relative competition intensity
  • Timing indicators