Thinking Systems

Systems Mapping and Leverage

Treat the problem as structure and interaction, not isolated parts. Map boundary, stocks/flows, loops/delays, and recurring patterns; intervene at the highest feasible leverage after a side-effect check.

When to Use

• Symptom spans services/components; single-stack fixes fail or bounce.
• A change in one place breaks another; behavior is emergent.
• Problem recurs despite local fixes (structure, not only symptom).
• Need to rank interventions when parameter/buffer tweaks do not stick.

When NOT to Use

• Single-component linear bug with clear stack/diff—trace and fix.
• Throughput limited by one obvious stage—use theory-of-constraints.
• Decision is a consequence chain of one proposed action—use second-order.
• Approach selection (plan vs probe vs stabilize)—use cynefin first.

Procedure

• Bound the system. Name purpose, actors, boundary, and in/out flows. Exclude noise outside the decision horizon; include any path that can feed the symptom.
• Map stocks and flows. List accumulating stocks (queue depth, debt, cache size, WIP) and the rates that fill/drain them. Note what changes slowly even when flows jump.
• Find feedback and delays. For each candidate loop: classify reinforcing (amplifies) vs balancing (resists); mark same-direction (+) vs opposite (-) links; name delays (TTL, deploy lag, metric lag, ramp-up). Even count of opposite links → reinforcing; odd → balancing. Long delay + strong correction → overshoot risk.
• Match recurring structure when problems return. Check only if recurrence or policy resistance is present; do not force a pattern:
• Fixes That Fail — quick fix, delayed worse side effect
• Shifting the Burden — workaround starves fundamental fix
• Limits to Growth — growth hits a balancing constraint
• Tragedy of the Commons — local optima deplete a shared stock
• Escalation — mutual reaction spiral
• Success to the Successful — advantage compounds via allocation
• Growth and Underinvestment — capacity lags demand until crisis

If none fits after a genuine pass, keep the from-scratch map.

• Trace symptom to structure. Walk upstream along flows and loops; separate proximate symptom from structural driver (interaction, delay, wrong goal, missing info).
• Rank interventions by leverage, then side effects. Prefer higher feasible class: goals/paradigm → rules/information → loop structure (gain, balancing add, delay shorten) → stock/flow topology → buffers/parameters. For each candidate: feasibility, blast radius, delayed reversal risk. Prefer moves that cut harmful reinforcing gain or strengthen needed balancing loops without creating a new commons/escalation.
• Stop. Commit highest feasible intervention plus watch signals for loop/delay response. Re-map only if the structure changes or the intervention fails its watch.

Stop when boundary, key stocks/flows, dominant loop(s)+delay(s), optional archetype, and a ranked intervention with side-effect check are stated—or when the problem collapses to a single linear cause.

Output

boundary: <system purpose and edges>
stocks_flows: <stock → inflow/outflow list>
loops:
  - name: <loop>
    type: reinforcing | balancing
    delay: <where cause lags effect>
    links: <brief +/->
archetype: <name or none>
structural_driver: <one sentence>
interventions_ranked:
  - level: <goals|rules|loops|structure|params>
    action: <what>
    side_effects: <feedback/elsewhere/delay risk>
chosen: <highest feasible>
watch: <signals that confirm or falsify>

Verification

• Falsify: If removing one component fully explains and fixes the issue with no cross-effects, systems mapping is wrong—drop to local debug. If utilization shows one fixed stage as the sole cap, switch to theory-of-constraints.
• Stop: Do not keep adding loops after the chosen intervention and watch are set.
• Over-application guard: No archetype without recurrence evidence. No low-leverage param tweak listed as primary when a feasible higher class exists. Do not recreate standalone archetype/feedback/leverage procedures—those checks live only inside this map.