resource-envelope-estimation

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Estimate resources, budget, and timeline using parametric, analogous, and three-point (PERT) estimation methods.

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: resource-envelope-estimation description: Estimate resources, budget, and timeline using parametric, analogous, and three-point (PERT) estimation methods. dependencies: tactics: - multi-dimensional-readiness-scan - staged-gate-evaluation

Resource Envelope Estimation

Purpose: Produce credible resource estimates for implementing a candidate. Combines parametric estimation (model-based), analogous estimation (reference-class), and three-point PERT estimation (optimistic/likely/pessimistic) to bound the resource envelope with quantified uncertainty.

When to use:

  • A candidate has passed initial readiness screening and needs resource scoping
  • Stakeholders need budget/timeline estimates to make investment decisions
  • You need to compare resource requirements across multiple candidates

Budget

Metric Target
Estimate dimensions >= 3 (time, cost, personnel)
Precision range +/-30% initial, +/-10% refined
Reference analogies >= 2 per estimate

State Ledger

Key Type Description
candidate object The candidate being estimated
parametric_estimate object Model-based estimate
analogous_estimate object Reference-class estimate
pert_estimate object Three-point estimate
envelope object Synthesized resource envelope
confidence_level float Confidence in the estimate

Available Tactics

Tactic When
multi-dimensional-readiness-scan When resource estimation requires understanding current maturity first
staged-gate-evaluation When resources need to be estimated per stage gate

Available SOPs

SOP Purpose
dimension-assessment Assess resource dimension readiness
gate-criteria-definition Define resource gates
feasibility-synthesis Synthesize resource estimates into overall feasibility

Execution Guidance

  1. Decompose the candidate into estimable work packages
  2. For each work package, apply parametric estimation using known cost drivers
  3. Identify >= 2 analogous projects and extract their actual resource consumption
  4. Construct three-point estimates (optimistic, most likely, pessimistic) for each package
  5. Synthesize into a resource envelope with confidence intervals
  6. Flag any estimates with confidence < 0.5 for further investigation

Output Format

resource_envelope:
  candidate: <name>
  time:
    optimistic: <duration>
    likely: <duration>
    pessimistic: <duration>
    expected: <PERT weighted>
  cost:
    optimistic: <amount>
    likely: <amount>
    pessimistic: <amount>
    expected: <PERT weighted>
  personnel:
    roles: [{role, count, duration}]
    total_person_months: N
  analogies_used: [{project, relevance, actual_cost, actual_time}]
  confidence: 0.X
  precision_band: "+/-N%"
  key_assumptions: [...]

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic When to use
multi-dimensional-readiness-scan Assess readiness across multiple dimensions, synthesize into radar visualization, and identify bottleneck dimensions.
staged-gate-evaluation Define gate criteria for each stage, evaluate candidates at each gate, and render go/kill/recycle decisions with evidence.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill resource-envelope-estimation
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