Assumption Challenger
Systematically identifies and stress-tests assumptions that are treated as facts but may not be validated.
When to Use
- •Validating roadmaps and project plans
- •Reviewing architecture proposals
- •Assessing build vs buy decisions
- •Evaluating timelines and budgets
- •Challenging strategic initiatives
Why Assumptions Matter
Most project failures trace back to invalid assumptions:
- •Timeline assumptions: "We can ship in 6 weeks" (based on nothing)
- •Resource assumptions: "We'll hire 3 engineers" (in a tight market)
- •Technical assumptions: "The API can handle 10K requests/sec" (never tested)
- •Business assumptions: "Users will adopt this feature" (never validated)
The cost of invalid assumptions compounds over time. A bad assumption in week 1 can waste months of work.
Assumption Categories
1. Timeline Assumptions
Assumptions about how long things will take.
Common patterns:
- •"This should only take 2 weeks"
- •"We'll have the integration done by launch"
- •"The team can absorb this additional scope"
Challenge questions:
- •What's this estimate based on? Past experience or hope?
- •What similar work have we done? How long did it actually take?
- •What's not included in this estimate? (Testing, documentation, deployment)
- •What happens if this takes 2x longer?
2. Resource Assumptions
Assumptions about team capacity and availability.
Common patterns:
- •"We'll hire 2 senior engineers by Q2"
- •"The DevOps team can support this"
- •"Sarah can lead this while maintaining her other work"
Challenge questions:
- •What's the hiring timeline? What if we can't find the right people?
- •What's the team's current utilization? Where does time come from?
- •Who's the backup if the key person is unavailable?
- •What happens if the team is 50% of expected capacity?
3. Technical Assumptions
Assumptions about system capabilities and constraints.
Common patterns:
- •"The database can handle the load"
- •"We can integrate with their API easily"
- •"Our architecture supports this use case"
Challenge questions:
- •Has this been tested at the required scale?
- •What are the documented limits? What happens at those limits?
- •What's the failure mode? How do we recover?
- •Have we talked to the API provider about our usage patterns?
4. Business Assumptions
Assumptions about market, users, and business outcomes.
Common patterns:
- •"Users want this feature"
- •"This will reduce churn by 20%"
- •"The market will wait for our solution"
Challenge questions:
- •What evidence supports this? User research? Data?
- •What if users don't adopt this? What's the fallback?
- •What are competitors doing in this space?
- •How will we know if this assumption is wrong?
5. External Assumptions
Assumptions about factors outside your control.
Common patterns:
- •"The vendor will have the feature ready"
- •"Regulations won't change"
- •"The market will remain stable"
Challenge questions:
- •What's our contingency if this doesn't happen?
- •What's the vendor's track record on commitments?
- •What early warning signs would indicate this is wrong?
- •What's the cost of being wrong?
Assumption Identification Process
Step 1: Surface Assumptions
Read the proposal and identify statements that are treated as facts but aren't validated:
Flag statements containing:
- •"We will..." (without evidence)
- •"We can..." (without proof)
- •"Users want..." (without data)
- •"It should..." (without testing)
- •"We expect..." (without basis)
- •"We assume..." (at least they're honest)
Step 2: Categorize Assumptions
For each assumption, categorize:
| Category | Risk if Wrong | Validation Difficulty |
|---|---|---|
| Timeline | Project delay | Medium (compare to past) |
| Resource | Execution failure | Medium (check market) |
| Technical | System failure | High (requires testing) |
| Business | Wasted investment | High (requires market validation) |
| External | Plans disrupted | Variable |
Step 3: Assess Each Assumption
For each significant assumption:
### Assumption: [Statement] **Category**: [Type] **Stated or Implicit**: [Was it stated or hidden?] **Evidence Supporting**: - [Evidence 1] - [Evidence 2] **Evidence Against**: - [Counter-evidence 1] - [Counter-evidence 2] **Risk if Wrong**: - [Impact on timeline] - [Impact on cost] - [Impact on success] **Validation Method**: - [How to test this assumption] - [Cost/time to validate] **Verdict**: [ ] Valid - Evidence supports [ ] Questionable - Needs validation [ ] Invalid - Evidence contradicts [ ] Unknown - Cannot assess
Step 4: Prioritize Challenges
Focus on assumptions that are:
- •High impact - Project fails if wrong
- •Low evidence - Based on hope, not data
- •Testable - Can be validated before commitment
Challenge Patterns
The Reality Check
Compare assumption to external data.
Template:
"You assume [X]. Industry data shows [Y]. What makes you different?"
Example:
"You assume you can hire 3 senior engineers in 2 months. The average time-to-hire for senior engineers in your market is 4-6 months. What's your strategy to beat that?"
The History Test
Compare to organization's past performance.
Template:
"You assume [X]. Last time you attempted [similar thing], it took [Y]. What's changed?"
Example:
"You assume 8 weeks for the microservices migration. Your last infrastructure migration took 5 months. What's different this time?"
The Stress Test
Push assumption to failure point.
Template:
"You assume [X]. What happens when [stress scenario]?"
Example:
"You assume the system handles 10K concurrent users. What happens during a flash sale with 50K? What's the failure mode?"
The Dependency Audit
Trace assumption to its dependencies.
Template:
"For [assumption] to be true, what else must be true?"
Example:
"For your 6-week timeline to work, you need: (1) API specs finalized by week 1, (2) no scope changes, (3) 100% team availability, (4) no production incidents. How realistic is that?"
The Inverse Test
Consider what happens if assumption is wrong.
Template:
"If [assumption] is wrong, what's the impact? What's your Plan B?"
Example:
"If users don't adopt this feature, what's the fallback? Have you defined failure criteria?"
Wishful Thinking Indicators
Red flags that suggest assumption is based on hope rather than evidence:
1. The Optimistic Timeline
- •"Should only take..."
- •"If everything goes well..."
- •"We can do it if we're focused..."
Reality: Things rarely go perfectly. Add 30-50% buffer.
2. The Magical Hiring
- •"We'll just hire..."
- •"Once we have the team..."
- •"We're planning to bring on..."
Reality: Hiring takes 3-6 months for senior roles. Onboarding adds another 2-3 months to productivity.
3. The Simple Integration
- •"It's just an API call..."
- •"Should be straightforward..."
- •"They have good documentation..."
Reality: Integrations always have edge cases, rate limits, and unexpected behaviors.
4. The Obvious Market
- •"Everyone needs this..."
- •"Users have been asking for..."
- •"It's clear that..."
Reality: "Everyone" is not a market segment. Validate with actual user research.
5. The Linear Scaling
- •"If we can do X, we can do 10X..."
- •"We'll scale as needed..."
- •"Growth shouldn't be a problem..."
Reality: Scaling is non-linear. What works at 10K users may fail at 100K.
Output Format
When challenging assumptions, provide:
# Assumption Analysis: [Plan/Proposal Name] ## Summary - **Total Assumptions Identified**: [Count] - **High-Risk Assumptions**: [Count] - **Requires Immediate Validation**: [Count] ## Critical Assumptions (Must Validate Before Proceeding) ### Assumption 1: [Statement] **Category**: Timeline / Resource / Technical / Business / External **Stated or Implicit**: Stated / Implicit **The Problem**: [Why this assumption is questionable] **Evidence For**: - [Supporting evidence] **Evidence Against**: - [Counter-evidence] **If Wrong, Impact**: - Timeline: [Impact] - Budget: [Impact] - Success: [Impact] **How to Validate**: - [Validation method] - [Time required] - [Cost] **Verdict**: Valid / Questionable / Invalid / Unknown --- ### Assumption 2: [Statement] [Same format] --- ## Medium-Risk Assumptions (Should Validate) [List with brief analysis] ## Low-Risk Assumptions (Monitor) [List] ## Recommendations ### Before Proceeding 1. [Validation action 1] 2. [Validation action 2] ### Risk Mitigation 1. [Mitigation for assumption 1] 2. [Mitigation for assumption 2] ### Contingency Plans Needed 1. [Plan B for assumption 1] 2. [Plan B for assumption 2]
Integration with Validation
The assumption-challenger skill feeds into the broader validation workflow:
Proposal/Plan
│
▼
[assumption-challenger] → List of assumptions with verdicts
│
▼
[antipattern-detector] → Identified anti-patterns
│
▼
[validation-report-generator] → Final 8-section report
References
- •Wishful Thinking Patterns - Common patterns to watch for
- •Challenge Questions - Ready-to-use challenge questions by category