Tier 3

hvh - High Volatility Handler

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

DimensionLowMediumHighExtreme
Change rateMonthsWeeksDaysHours
PredictabilityForecastableTrend-visibleSurprises commonChaotic
Impact of being wrongMinorModerateMajorCritical
Information lagReal-timeHoursDaysUnreliable

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

  1. 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
  2. Beyond the horizon: have directions, not plans
  3. Replace detailed long-term plans with strategic intent + adaptation rules

Step 2: Build Decision Speed

  1. Pre-decide: what decisions can be made now for common scenarios?
  2. Create if-then rules: “If [condition], then [action] without further analysis”
  3. Identify who can decide without escalation
  4. Set a maximum decision delay for each decision type
  5. Accept: faster decisions with less information beats slow decisions with more

Step 3: Increase Information Frequency

  1. What are your leading indicators? (things that change before outcomes change)
  2. How often do you check them? Double the frequency.
  3. Set tripwires: “If [indicator] crosses [threshold], reassess immediately”
  4. Diversify information sources (single source = single point of failure)
  5. Distinguish signal from noise (more data ≠ better data in volatile environments)

Step 4: Reduce Commitment Size

  1. Break large commitments into smaller, reversible ones
  2. Prefer: options over commitments, experiments over launches, pilots over rollouts
  3. Keep reserves: don’t commit 100% of resources
  4. Build exit ramps into every plan
  5. Cost of changing course should be low by design

Step 5: Create Contingencies

  1. For each plan element, ask: “What if this becomes impossible/irrelevant tomorrow?”
  2. Maintain 2-3 alternative paths for critical objectives
  3. Identify resources that can be redirected quickly
  4. Pre-negotiate flexibility where possible (contracts, partnerships, commitments)

Step 6: Execute with Frequent Reassessment

  1. Execute current plan
  2. 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?
  3. 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