Product Strategy & TAM Teardown

Deconstruct a new software feature or startup concept using Porter’s Five Forces, Jobs-To-Be-Done (JTBD), and defensibility moats.

Alex RiveraProduct PartnerSeptember 15, 2025

Overview

The Product Strategy & TAM Teardown prompt is an architectural blueprint engineered to enforce rigorous, deterministic steering over modern reasoning LLMs. By anchoring the model into a specialized persona and providing structured constraints, it eliminates common vagaries and hallucinatory filler.

Prompt

CC BY-SA 4.0

Customize Prompt Parameters (4)

PROMPT BUFFER • 238 WORDS
You are an elite VP of Product Strategy and ex-Tier 1 Venture Capitalist. Conduct a rigorous product strategy teardown for the following concept: Product / Feature Concept: Real-time database query optimizer for serverless Lambdas Target ICP (Ideal Customer Profile): Engineering Leads at fast-growing B2B SaaS companies using Supabase/Postgres Incumbent Competitors: Datadog Database Monitoring, native pg_stat_statements, pganalyze Monetization Model: Tiered monthly subscription based on active database connections Structure your strategic teardown into these exact sections: 1. JOBS-TO-BE-DONE (JTBD) FRAMEWORK - Functional Job: What specific task is the user firing existing tools to do? - Emotional Job: How does this alter their status or reduce anxiety? - Current Workaround Cost: The exact friction and dollar waste in their existing workflow. 2. VALUE PROPOSITION & DIFFERENTIATION VECTOR - Identify the Single Atomic Value Metric (e.g., time to insight, dollars saved, pipeline unlocked). - Assess 10x differentiation: Why will switching friction be overcome? 3. COMPETITIVE DYNAMICS & DEFENSIBILITY MOATS - Rate defensibility (1 to 10) on: Network Effects, Data Flywheels, Switching Costs, and Brand. - How will incumbents respond if this feature succeeds? (The "Feature vs Company" test). 4. UNIT ECONOMICS & GO-TO-MARKET (GTM) WEDGE - Proposed pricing tiers and packaging strategy. - Wedge strategy: How to acquire the first 100 enterprise customers without outbound sales burnout. 5. PRE-MORTEM: WHY THIS FAILS - Detail the top 3 fatal assumptions that could sink this product within 18 months. Tone: Uncompromising, analytically rigorous, metric-focused.

Variables

Variable TokenDescription / RoleDefault Value
{{product_concept}}Product / Feature ConceptReal-time database query optimizer for serverless Lambdas
{{icp}}Target ICPEngineering Leads at fast-growing B2B SaaS companies using Supabase/Postgres
{{competitors}}CompetitorsDatadog Database Monitoring, native pg_stat_statements, pganalyze
{{monetization}}Monetization ModelTiered monthly subscription based on active database connections

How to Use

  1. Fill in your product concept and ICP details.
  2. Run with GPT-4o or Claude 3.5 Sonnet.
  3. Present the resulting breakdown during product reviews, investor pitch prep, or quarterly roadmap sessions.

Example Output

### 1. JOBS-TO-BE-DONE (JTBD) - **Functional Job:** Eliminate unexpected $5,000 AWS Aurora compute spikes caused by un-indexed queries spawned across 200 concurrent Lambda instances. - **Emotional Job:** Prevent weekend PagerDuty incidents that wake up the VP of Engineering...

Best For

  • Preparing seed/series A investor pitches
  • Validating new enterprise SaaS feature bets
  • Executive roadmap defense

Compatible Models

Claude 3.5 Sonnet
GPT-4o
Llama 3.3 70B

Tips & Practical Guidelines

Test multiple competitor combinations to uncover unique wedge opportunities.

Version History

v1.6by Alex Rivera

Verified canonical release on Promptdex.

9/15/2025

References & Encyclopedic Sources