Install
openclaw skills install @deciqai/incremental-vs-leap-growthActivate when: growth has stalled despite good execution; a team disagrees whether a goal is 'realistic'; someone says their initiative is transformative but measures it with quarterly targets; you're designing a new market entry or capability platform. Do NOT activate when: organization is in survival mode (cash runway < 6 months) — address that constraint first; the goal hasn't been defined yet — use first-principles or jobs-to-be-done first.
openclaw skills install @deciqai/incremental-vs-leap-growthThe most common strategic error is applying the wrong growth mode to a goal. Incremental optimizes within an existing trajectory — phased execution, quarterly measurement. Leap abandons the existing trajectory for a higher-order one — grand goal first, resource assembly second, concurrent parallel workstreams. The tools, timescales, and risk profiles are fundamentally incompatible. Organizations default to incremental (it's measurable on familiar timescales), systematically strangling leap initiatives before they reach the stage where value accumulates.
Compose with: [strategic-spiral-momentum] (phases 1–3 = leap; phases 7–8 = incremental) · [margin-of-safety] (leap needs larger buffers) · [okr-goal-setting] (run after classifying mode).
When NOT to use: Survival mode (cash runway < 6 months); goal not yet defined (use first-principles first); purely operational work.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
Step 1 — Classify. Optimization of existing trajectory (incremental) or step-change to a new one (leap)?
Step 2 — Verify tool-set alignment.
| Dimension | Incremental | Leap |
|---|---|---|
| Goal | Specific improvement vs. baseline | Grand goal: destination state regardless of current resources |
| Execution | Sequential: build on what works | Concurrent: N parallel subtasks simultaneously |
| Measurement | Output metrics, quarterly | Stage transition criteria; milestone gates |
| Resources | Deploy existing | Identify missing; then assemble |
Step 3 — For leap: state the grand goal. "By [year], we will [position/capability/scale] such that [strategic consequence]." List resources required — not what you have, but what must exist.
Step 4 — Design stage transitions. Stage 1 exit: leap hypothesis viable? Stage 2: model scaling? Stage 3: new trajectory established?
Step 5 — Design concurrent execution. Decompose into N parallel subtasks. Assign owner, timeline, integration point to each.
Step 6 — Stop-rule. Cannot name stage transition criteria = leap aspiration, not a plan. Return to Step 4.
Initiative: ___ Date: ___ Classification: [ ] Incremental [ ] Leap [ ] Split Evidence: ___
Incremental → Baseline: ___ Target: ___ Timeline: ___ OKR: ___ Owner: ___
Leap → Grand goal: ___ Missing: Capital/___ Talent/___ Partners/___ Capabilities/___
Stage 1 exit: ___ Stage 2 exit: ___ Stage 3 exit: ___
Subtask 1: ___ / Owner: ___ / Integration: ___ Subtask 2: ___ ...
Mode-metric alignment: [ ] Yes [ ] No If No: ___
→ Method in Action: U.S. Interstate Highway System (1956–1992)
[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.
| Rationalization | Why It Fails |
|---|---|
| [D] "We're doing both simultaneously." | Possible only if workstreams are separated. Blended = neither mode works. |
| [D] "No results yet — but it's only been 6 months." | Valid only if stage transition criteria were defined upfront. Without them, can't distinguish normal leap pattern from failure. |
| [D] "Incremental is too slow — we need to leap." | Leaping from a broken incremental foundation produces an unstable leap. Fix the baseline first. |
| [D] "We set a 10x goal, so we're in leap mode." | Goal size doesn't determine mode. 10x via optimization = incremental. 2x requiring new capability platform = leap. |
| [D] "We can track pipeline quarterly for the leap." | Pipeline in phase 1 is not a stage transition indicator. Requires stage-level criteria. |
| [D] "We'll do a lean leap due to resource constraints." | Fails at stage transition — not because the goal was wrong but because the resource hypothesis was wrong. |
| [D] "We'll know progress when we see it." | Motivated reasoning — any positive signal gets declared as progress regardless of capability actually established. |
| → Add [O] entries here after each real use — paste the actual failure pattern | What went wrong and why |
Part of deciqAI Knowledge Skills — open-source thinking skills that make rigor executable for AI agents. Built by deciqAI · https://deciqai.com · Contributions welcome — see the template at the repo root.