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Business Decisions

πŸ“Š Strategic analysis for business owners, founders, and executives.

Business decisions benefit from structured reasoning because they involve multiple stakeholders, uncertain outcomes, and significant resources.

Common Business Questions

β€œShould I start this business?”

rk-core think "I want to start a SaaS business in project management space. Market seems crowded but I have a unique angle. Worth pursuing?" --deep

β€œShould I raise funding or bootstrap?”

rk-core think "My startup is doing $20K MRR after 1 year bootstrapped. VCs are interested. Should I raise?" --paranoid

β€œShould I hire this person?”

rk-core think "Candidate is brilliant but has job-hopped 4 times in 3 years. Red flag or okay?" --balanced

β€œShould I pivot or persist?”

rk-core think "6 months in, $50K spent, no traction. 3 users give great feedback but can't get more. Pivot or persist?" --deep

Example Analysis

Question: β€œShould I launch my product now (80% done) or wait until 100%?”

rk-core think "Product is 80% complete. Launch now and iterate, or wait 2 more months for polish?" --balanced
╔════════════════════════════════════════════════════════════╗
β•‘  BUSINESS ANALYSIS: Launch Timing                          β•‘
β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  πŸ’‘ GIGATHINK: 10 Perspectives                             β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  1. MVP PHILOSOPHY: Launch early, iterate with feedback   β”‚
β”‚  2. FIRST IMPRESSION: You only launch once                β”‚
β”‚  3. COMPETITIVE: What are competitors doing?              β”‚
β”‚  4. CASH FLOW: 2 months = 2 months more burn             β”‚
β”‚  5. MARKET TIMING: Is there a window closing?             β”‚
β”‚  6. TEAM MORALE: Is team ready to ship?                   β”‚
β”‚  7. CUSTOMER: Are beta users asking to pay?               β”‚
β”‚  8. PERFECTIONISM: Is "100%" a moving target?            β”‚
β”‚  9. LEARNING: What will you learn from launch?            β”‚
β”‚  10. REVERSIBILITY: Can you iterate after launch?         β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  ⚑ LASERLOGIC: Reasoning Analysis                         β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  FLAW: "80% complete"                                     β”‚
β”‚  β†’ 80% by whose standard?                                 β”‚
β”‚  β†’ The last 20% often takes 80% of the time              β”‚
β”‚  β†’ "2 more months" is almost certainly wrong              β”‚
β”‚                                                            β”‚
β”‚  FLAW: "Polish before launch"                             β”‚
β”‚  β†’ You don't know what to polish until users tell you     β”‚
β”‚  β†’ You're polishing based on guesses, not data           β”‚
β”‚  β†’ Effort likely wasted on wrong features                β”‚
β”‚                                                            β”‚
β”‚  FLAW: "You only launch once"                             β”‚
β”‚  β†’ False for software; you can iterate indefinitely       β”‚
β”‚  β†’ First users are usually early adopters who forgive     β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  πŸͺ¨ BEDROCK: First Principles                              β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  CORE QUESTION:                                            β”‚
β”‚  Can someone pay you money for this today?                 β”‚
β”‚                                                            β”‚
β”‚  If YES: Launch. Everything else is premature optimizationβ”‚
β”‚  If NO: What's the minimum needed to get there?           β”‚
β”‚                                                            β”‚
β”‚  THE 80/20:                                                β”‚
β”‚  β€’ 80% of value comes from 20% of features               β”‚
β”‚  β€’ The 20% you're missing may not be in that 20%         β”‚
β”‚  β€’ Real usage data > your assumptions                     β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  πŸ”₯ BRUTALHONESTY: Reality Check                           β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  UNCOMFORTABLE TRUTH:                                      β”‚
β”‚  "Waiting for polish" is often fear of rejection.         β”‚
β”‚  If you're afraid to launch, that fear won't go away      β”‚
β”‚  when you reach "100%" - the bar will just move.          β”‚
β”‚                                                            β”‚
β”‚  UNCOMFORTABLE TRUTH:                                      β”‚
β”‚  Most products fail because of bad product-market fit,    β”‚
β”‚  not because of missing features. Launching tells you     β”‚
β”‚  if you have PMF. Not launching keeps you guessing.       β”‚
β”‚                                                            β”‚
β”‚  HONEST QUESTION:                                          β”‚
β”‚  What specifically are you afraid will happen if you      β”‚
β”‚  launch today?                                            β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

SYNTHESIS:
Launch now unless there's a specific, critical blocker.
"Polish" is a trap. Real user feedback is more valuable
than hypothetical improvements. The market will tell you
what's actually missing.

Business-Specific Profile

[profiles.business]
tools = ["gigathink", "laserlogic", "bedrock", "proofguard", "brutalhonesty"]
gigathink_perspectives = 12
laserlogic_depth = "deep"
proofguard_sources = 3
brutalhonesty_severity = "high"
timeout = 240

Business Framework Integration

ReasonKit complements standard business frameworks:

FrameworkReasonKit Enhancement
SWOT AnalysisGigaThink expands perspectives
Porter’s Five ForcesLaserLogic validates logic
Lean CanvasBrutalHonesty stress-tests assumptions
OKRsBedRock ensures first-principles alignment

Common Business Biases

BiasBusiness ContextReasonKit Response
Sunk costβ€œWe’ve invested too much to stop”Future-focused analysis
Optimismβ€œOur projections are conservative”Base rate comparison
Groupthinkβ€œEveryone on the team agrees”Contrarian perspectives
Survivorshipβ€œSuccessful startups did X”Full dataset analysis

Tips for Business Analysis

  1. Include financials β€” Numbers matter; include them

  2. Specify timeline β€” β€œShould I hire?” vs β€œShould I hire this quarter?”

  3. Name competitors β€” Generic questions get generic answers

  4. Use paranoid for big bets β€” Funding rounds, pivots, major hires

  5. Revisit decisions β€” Run analysis again as conditions change