High Volatility Handler
Input: $ARGUMENTS
Overview
Standard planning assumes relative stability. High-volatility environments break this — conditions change faster than plans can adapt. This procedure adjusts planning horizon, decision speed, information gathering, and commitment level to match the rate of change.
Step 0: Assess Volatility
| Dimension | Low | Medium | High | Extreme |
|---|---|---|---|---|
| Change rate | Months | Weeks | Days | Hours |
| Predictability | Forecastable | Trend-visible | Surprises common | Chaotic |
| Impact of being wrong | Minor | Moderate | Major | Critical |
| Information lag | Real-time | Hours | Days | Unreliable |
Volatility type:
- Market: prices, demand, competition shifting
- Technical: technology, platforms, tools changing
- Political: regulations, policies, power dynamics
- Environmental: conditions, resources, access changing
- Social: public opinion, team dynamics, relationships
Steps
Step 1: Shorten Planning Horizon
- Standard planning horizon ÷ volatility factor = adjusted horizon
- Low volatility: plan 6-12 months
- Medium: plan 1-3 months
- High: plan 1-4 weeks
- Extreme: plan 1-3 days
- Beyond the horizon: have directions, not plans
- Replace detailed long-term plans with strategic intent + adaptation rules
Step 2: Build Decision Speed
- Pre-decide: what decisions can be made now for common scenarios?
- Create if-then rules: “If [condition], then [action] without further analysis”
- Identify who can decide without escalation
- Set a maximum decision delay for each decision type
- Accept: faster decisions with less information beats slow decisions with more
Step 3: Increase Information Frequency
- What are your leading indicators? (things that change before outcomes change)
- How often do you check them? Double the frequency.
- Set tripwires: “If [indicator] crosses [threshold], reassess immediately”
- Diversify information sources (single source = single point of failure)
- Distinguish signal from noise (more data ≠ better data in volatile environments)
Step 4: Reduce Commitment Size
- Break large commitments into smaller, reversible ones
- Prefer: options over commitments, experiments over launches, pilots over rollouts
- Keep reserves: don’t commit 100% of resources
- Build exit ramps into every plan
- Cost of changing course should be low by design
Step 5: Create Contingencies
- For each plan element, ask: “What if this becomes impossible/irrelevant tomorrow?”
- Maintain 2-3 alternative paths for critical objectives
- Identify resources that can be redirected quickly
- Pre-negotiate flexibility where possible (contracts, partnerships, commitments)
Step 6: Execute with Frequent Reassessment
- Execute current plan
- At each checkpoint (per shortened horizon):
- Has anything changed that invalidates the plan?
- Are tripwires triggered?
- Is the direction still right even if tactics need adjusting?
- Adapt or continue — don’t agonize, decide and move
VOLATILITY ASSESSMENT:
Environment: [description]
Volatility: [low/medium/high/extreme]
Type: [market/technical/political/environmental/social]
Adjusted approach:
- Planning horizon: [timeframe]
- Decision speed: [target response time]
- Check frequency: [how often]
- Commitment size: [maximum before checkpoint]
- Contingencies: [N alternatives maintained]
When to Use
- Startups in fast-moving markets
- Crisis periods
- Political uncertainty affecting plans
- Technology transitions
- Any situation where “the plan” keeps becoming obsolete
Verification
- Volatility type and level assessed
- Planning horizon adjusted to match
- Decision speed increased (pre-decisions, if-then rules)
- Information gathering frequency increased
- Commitments sized to be reversible
- Contingencies prepared