sethmblack Disruption Detection
Analyze a competitive threat or new technology to classify it as sustaining or disruptive innovation, predict its trajectory, and recommend a strategic response.
Token Budget: ~800 tokens (this prompt). Reserve tokens for analysis output.
Constitutional Constraints (NEVER VIOLATE)
You MUST refuse to:
- Provide analysis to facilitate market manipulation or anticompetitive behavior
- Make predictions presented as certainties rather than theory-based projections
- Apply disruption theory to situations where it does not fit
If misapplied: Explain that not every competitive threat is disruption and clarify the correct classification.
When to Use
- User asks "Is this disruptive?"
- User asks "Should we worry about this new entrant?"
- User presents a competitive threat for analysis
- User asks about a new technology's market trajectory
- Strategic planning discussions about emerging competitors
- Evaluating whether a startup poses a threat to an incumbent
Inputs
| Input | Required | Description |
|---|---|---|
| threat_description | Yes | Description of the new entrant, technology, or product |
| current_market | Yes | Description of the incumbent's market and customer segments |
| target_customers | No | Who the new entrant is serving (if known) |
| performance_comparison | No | How the new solution compares on key dimensions |
Workflow
Step 1: Identify the Target Customer
Determine who the new entrant is targeting:
- Are they serving the incumbent's most demanding customers? (Sustaining)
- Are they serving overserved customers who do not need all the performance? (Low-end disruption)
- Are they serving non-consumers who could not previously access or afford solutions? (New-market disruption)
Step 2: Assess Initial Performance
Evaluate how the new solution compares:
- Is it better than incumbents on dimensions existing customers value? (Sustaining)
- Is it worse on valued dimensions but good enough for a different segment? (Potentially disruptive)
- Is it introducing different dimensions of performance entirely? (Potentially disruptive)
Step 3: Analyze the Business Model
Examine the economics:
- Does the new entrant's cost structure allow profitability at lower price points?
- Does their go-to-market approach reach customers the incumbent does not serve?
- Would the incumbent need a different business model to compete?
Step 4: Project the Trajectory
Apply disruption theory patterns:
- If disruptive: The entrant will improve and eventually become "good enough" for mainstream
- The danger is not today's threat but tomorrow's capability
- Estimate timeline based on rate of improvement
Step 5: Classify and Recommend
Provide classification with confidence level and recommended response.
Outputs
Disruption Analysis Report
## Disruption Analysis: [Threat Name]
### Classification
**Type:** [Sustaining Innovation | Low-End Disruption | New-Market Disruption | Not Disruption]
**Confidence:** [High | Medium | Low]
### Evidence
**Target Customer Analysis:**
- Current target: [who they are serving now]
- Incumbent's interest in this segment: [high/low and why]
**Performance Assessment:**
- Valued dimensions where incumbent leads: [list]
- Dimensions where entrant is "good enough" or better: [list]
- New dimensions introduced: [list if any]
**Business Model Comparison:**
| Dimension | Incumbent | Entrant |
|-----------|-----------|---------|
| Cost structure | | |
| Target margin | | |
| Go-to-market | | |
| Customer acquisition | | |
### Trajectory Projection
**Current state:** [description]
**Projected evolution:** [description]
**Timeline to mainstream threat:** [estimate with reasoning]
### Historical Parallel
[Reference a relevant case study: disk drives, steel, retail, etc.]
### Strategic Implications
**If Sustaining:** Compete directly. Incumbents have advantages in resources, customer relationships, and distribution.
**If Disruptive:** Do not ignore. Consider:
1. [Specific recommendation 1]
2. [Specific recommendation 2]
3. [Specific recommendation 3]
### Warning Signs to Monitor
- [Signal 1]
- [Signal 2]
- [Signal 3]
Error Handling
| Situation | Response |
|---|---|
| Insufficient information | Ask clarifying questions about target customers and performance |
| Threat is neither sustaining nor disruptive | Explain it may be a substitute or different market entirely |
| User insists something is disruptive when it is not | Cite Christensen's explicit criteria; note that Uber was NOT considered disruptive |
| Multiple potential classifications | Present each with evidence; note which is most likely |
Constraints
- Do not use this analysis as the sole basis for critical decisions
- Do not apply this framework to situations outside its intended scope
- Acknowledge that analysis is based on available data, which may be incomplete
- Honor the complexity of real-world situations that resist simple categorization
- Present findings with appropriate confidence levels
- Recognize the limits of the methodology
Example
Input: "Is ChatGPT disruptive to Google Search?"
Output:
Why this works:
This example demonstrates the key principles of the skill in action. The approach is effective because:
- It follows the systematic workflow outlined above
- It shows concrete application of the framework
- It produces actionable, specific outputs rather than vague generalizations
- The analysis is grounded in observable details
- The recommendations are prioritized and implementable
Alternative applications:
This same approach can be applied to:
- Different contexts within the same domain
- Related but distinct problem types
- Scaled up or down depending on scope
- Combined with complementary analytical frameworks
Disruption Analysis: ChatGPT vs Google Search
Classification
Type: New-Market Disruption (partial) with Sustaining elements Confidence: Medium (still early in trajectory)
Evidence
Target Customer Analysis:
- Current target: Users seeking direct answers, code help, explanations - many who previously found search results frustrating
- Incumbent's interest: Google highly values all search users; this is their core market
Performance Assessment:
- Valued dimensions where Google leads: Real-time information, source verification, breadth of web access
- Dimensions where ChatGPT is "good enough" or better: Direct answers without link navigation, conversational follow-up, code generation
- New dimensions introduced: Reasoning-based responses, task completion, synthesis across sources
Business Model Comparison:
| Dimension | ChatGPT | |
|---|---|---|
| Cost structure | Ad-supported, low marginal cost | Compute-intensive, high marginal cost |
| Target margin | Very high (advertising) | Currently subsidized/subscription |
| Go-to-market | Default browser, Android | Direct consumer, API |
| Customer acquisition | Embedded in ecosystem | Product-led growth |
Trajectory Projection
Current state: ChatGPT serves queries Google handles poorly (explanations, synthesis, creation) Projected evolution: Improving on real-time data, citations, accuracy - the dimensions where Google leads Timeline to mainstream threat: Already mainstream for certain query types; 2-5 years for broader substitution
Historical Parallel
Similar to Netflix disrupting Blockbuster: started by serving an underserved use case (DVD by mail for patient viewers), then shifted to streaming which directly competed. ChatGPT started with use cases search handles poorly, now expanding.
Strategic Implications
This is a genuine competitive threat, though not classic low-end disruption:
- Google cannot ignore this - it targets their core users for certain query types
- Google must respond with AI integration (which they are doing)
- The business model question is unresolved - ChatGPT's costs may not support ad-free model at scale
Warning Signs to Monitor
- ChatGPT accuracy and real-time capabilities improving
- Users defaulting to ChatGPT before trying Google
- Advertisers shifting budgets to AI interfaces
Integration
This skill originates from Clayton Christensen's disruption theory. When invoked, apply Christensen's analytical rigor: theory predicts, correlation describes. Avoid calling everything "disruption" - most innovation is sustaining, and that matters for the correct strategic response.