── ── Strategy
Resource-Time Compression
Most plans estimate how long each step takes and add them up — producing a multi-year sequential path that reflects a solo, resource-constrained default. Resource-time compression redesigns that path: access capabilities that already exist rather than building them, run steps in parallel, and skip steps entirely using the right partners, capital, talent, or platforms. Arriving 3 years earlier than competitors…
How it works
Step 1 — Default Path Mapping: List every major step, its estimated duration, and its dependencies. Gate: each step must have a specific duration and an identifiable resource making it take that long.
Step 2 — Bottleneck Identification: Identify the 2-3 steps most constraining the total timeline: longest steps, most downstream dependencies, or on the critical path. Gate: draw the critical path explicitly before selecting bottlenecks.
Step 3 — Resource Discovery: For each bottleneck — who already has this capability? Check: Partners, Acquisitions, Platforms, Capital, Networks. For each candidate: Does it exist? Can it be accessed in timeframe? What is the access cost? What step does it compress? Gate: only include resources genuinely accessible in the relevant timeframe.
When to use it
- ** default sequential path is too slow for the competitive window
- competitors are ahead and sequential catch-up produces permanent second place
- capability gaps would take 2+ years to build internally but external providers have them
- capital available and the question is where to deploy it for time compression
When not to use it
the bottleneck is a genuine sequential dependency that cannot be parallelized (e.g., regulatory approval must precede launch); or when required external resources do not yet exist and the problem requires first-principles innovation rather than resource configuration.
Worked example
Edison's Menlo Park Laboratory (1876–1882)
Thomas Edison's Menlo Park laboratory is the clearest historical case of deliberate resource-time compression at the invention-to-commercialization scale.
Install this skill (free, MIT)
npx skills add deciqAI/knowledge-skills