Systems Thinking
Scope
Covers
- Seeing the “whole system” behind a problem (actors, incentives, feedback loops, culture/rules)
- Anticipating second- and third-order effects (including time delays)
- Finding leverage points (small changes with outsized impact)
- Converting recurring pain into a reusable system (process, automation, or operating mechanism)
When to use
- “This is a complex ecosystem; we’re missing the bigger picture.”
- “What are the second-order effects if we do X?”
- “We keep solving symptoms—what’s the system causing this?”
- “Map the players + incentives and how they interact.”
- “We need to redesign a process/org without unintended consequences.”
When NOT to use
- The problem is simple/linear and mostly execution (use a project plan/timeline).
- You need primary user research or data you don’t have (do discovery first).
- You need deep quantitative forecasting/simulation (this skill produces a qualitative map + risks, not a full model).
- The decision is low-impact and fully reversible (don’t over-invest).
Inputs
Minimum required
- The focal decision or problem statement (1–2 sentences)
- Desired outcome + time horizon (default: 6–12 months)
- Known constraints/guardrails (trust, safety, compliance, budget, headcount)
- Known actors/stakeholders (teams, users, partners, regulators, vendors)
- What has been tried already (and what happened)
Missing-info strategy
- Ask up to 5 questions from references/INTAKE.md.
- If answers aren’t available, proceed with clearly labeled assumptions and provide 2–3 alternative system framings/boundaries.
Outputs (deliverables)
Produce a Systems Thinking Pack in Markdown (in-chat; or as files if requested) in this order:
- Context + System boundary (goal, scope, non-scope, time horizon)
- Actors & incentives map (players, goals, constraints, power, conflicts)
- System map (key variables + causal links) + feedback loops (reinforcing/balancing) + time delays
- Second-/third-order effects ledger for the top 1–3 decisions
- Leverage points + intervention plan (actions, owners, sequencing, guardrails)
- System-build opportunities (what to automate/standardize to reduce recurring pain)
- Risks / Open questions / Next steps (required)
Templates: references/TEMPLATES.md
Workflow (8 steps)
1) Intake + pick the focal decision/problem
- Inputs: User context; use references/INTAKE.md.
- Actions: Restate the focal decision/problem, desired outcome, and time horizon; list constraints/guardrails.
- Outputs: Draft Context + System boundary.
- Checks: The problem is not a solution in disguise; scope and non-scope are explicit.
2) Define the system boundary (what’s “in” vs “out”)
- Inputs: Problem statement + constraints.
- Actions: Choose a boundary that is useful (not everything). Name the primary outcome metric(s) and a few leading indicators.
- Outputs: Boundary statement + success measures.
- Checks: Boundary is tight enough to act on, but wide enough to include key externalities.
3) Map actors + incentives (multi-agent reality)
- Inputs: Boundary + stakeholder list.
- Actions: Enumerate actors/players; capture incentives, constraints, power, and likely behaviors.
- Outputs: Actors & incentives map (table).
- Checks: Includes at least 1–2 “invisible” actors (e.g., policies, culture norms, platform constraints) if relevant.
4) Build a simple system map (variables + causal links)
- Inputs: Actors map + known dynamics.
- Actions: List key variables; map causal links (“A increases B”, “C decreases D”); mark time delays.
- Outputs: System map (text/table) with 10–20 high-signal links.
- Checks: Links are directional and testable; avoids buzzwords (“alignment”, “quality”) without definition.
5) Identify feedback loops + time delays
- Inputs: System map.
- Actions: Extract reinforcing and balancing loops; note where delays create overshoot/oscillation; flag common traps.
- Outputs: Feedback loops section (2–6 loops) + delays list.
- Checks: Each loop has a short “so what” describing the pattern it creates.
6) Run second-/third-order effects on 1–3 candidate moves
- Inputs: Candidate decisions/actions.
- Actions: For each move, enumerate first-, second-, and third-order effects; include who wins/loses and what constraints tighten over time.
- Outputs: Second-/third-order effects ledger.
- Checks: Includes at least one unintended consequence + one mitigating action per move.
7) Choose leverage points + design interventions (including “build a system”)
- Inputs: Loops + effects ledger.
- Actions: Identify leverage points (policy, incentives, information flows, tooling, process); propose interventions; include at least one system-build/automation opportunity for recurring pain.
- Outputs: Leverage points + intervention plan + System-build opportunities.
- Checks: Each intervention has an owner, a measurable leading indicator, and a guardrail.
8) Quality gate + finalize pack
- Inputs: All draft sections.
- Actions: Run references/CHECKLISTS.md and score with references/RUBRIC.md. Add Risks / Open questions / Next steps.
- Outputs: Final Systems Thinking Pack.
- Checks: A reader can act without a live meeting; trade-offs and uncertainties are explicit.
Quality gate (required)
- Use references/CHECKLISTS.md and references/RUBRIC.md.
- Always include: Risks, Open questions, Next steps.
Examples
Example 1 (Org/process): “Our on-call load keeps rising and teams are burned out. Map the system and propose leverage points.” Expected: an actors/incentives map (teams, incidents, incentives), feedback loops (firefighting loop), effects ledger for candidate changes, and an intervention plan with guardrails.
Example 2 (Product ecosystem): “We’re changing API pricing; what are the second-order effects across partners and customer segments?” Expected: system boundary + actors map (customers/partners/internal), loops and delays, effects ledger, and a sequencing/mitigation plan.
Boundary example: “Write a status update about this week’s tasks.” Response: this skill is for complex systems/decisions. Suggest a project update format instead; only use this skill if there’s a systemic pattern to diagnose.