Global Impact Catalyst

Global Impact Catalyst is an open-source impact measurement module—built for indicator pipelines,
SDG-style reporting, and reproducible outputs. It helps teams turn sustainability goals into measurable,
traceable work products without losing context.

What it is →
Catalyst Data →
Analytics R →

Principle: “impact” isn’t a vibe. It’s claims, indicators, sources, and evidence that hold up over time.

 

What it is

Global Impact Catalyst supports structured impact work: selecting indicators, defining measurement rules,
recording sources, and producing outputs that can be rerun and reviewed. It is designed for teams who need
clarity—especially when reporting requirements and stakeholder expectations are complex.

  • Indicator pipelines — define, compute, and version impact metrics
  • Source discipline — keep provenance attached to outputs
  • Reporting outputs — reproducible tables and documentation artifacts
  • Scenario thinking — compare options under uncertainty
View on GitHub →

Who it’s for

  • NGOs and advocates

    Build clear measurement frameworks and publish outputs that stakeholders can verify and reuse.

    Use case: program evaluation, transparency reporting

  • Policy and civic projects

    Connect indicators to sources and time periods to reduce confusion and improve accountability.

    Use case: monitoring plans, public dashboards (via exports)

  • Teams doing sustainability work

    Create consistent definitions and reduce reporting drift across teams, vendors, and initiatives.

    Use case: internal measurement and reporting coherence

  • Students and researchers

    Learn reproducible impact methods and create auditable projects with transparent assumptions.

    Use case: capstones, thesis work, reproducible analysis

What it enables

Global Impact Catalyst helps structure impact work into durable components that can be reused:

  • Indicator selection — choose what matters and state why
  • Definition discipline — units, thresholds, and computation rules
  • Measurement workflows — collecting values with clear provenance
  • Outputs — tables, summaries, and documentation artifacts
  • Comparisons — scenario runs and tradeoff framing

The goal is not “perfect certainty.” It’s credible, reviewable work in a world with messy data.

Why it matters

  • Reduce reporting drift

    Sustainability reporting often breaks because definitions quietly change. This module encourages stable indicators
    and visible versioning when methods evolve.

    Outcome: consistency over time

  • Make claims defensible

    If an output can’t point back to sources and assumptions, it won’t survive scrutiny. Global Impact Catalyst
    keeps provenance close to results.

    Outcome: stronger credibility

  • Keep outputs reusable

    Teams waste time rebuilding the same reports. Reproducible pipelines create work products that can be rerun and updated.

    Outcome: less reinvention, more continuity

  • Support tradeoff thinking

    Impact work involves tradeoffs. This module supports comparison across scenarios and makes assumptions explicit.

    Outcome: better decisions under constraint

How it connects to the platform

  • Catalyst Data

    Provides shared entities, sources, periods, and measurements so indicator outputs stay grounded and traceable.

    Link: Catalyst Data

  • Catalyst Analytics R

    Computes indicators and runs scenarios using reproducible workflows with explicit assumptions.

    Link: Catalyst Analytics R

  • Catalyst Finance

    Helps frame tradeoffs and incentives when planning interventions and evaluating options under constraint.

    Link: Catalyst Finance

  • Narrative Risk

    Adds an evidence and claims layer so interpretations don’t outpace what the data supports.

    Link: Narrative Risk

Boundaries

Global Impact Catalyst is an open-source measurement and reporting framework. It does not certify compliance,
replace professional legal or assurance services, or guarantee outcomes. It helps teams build clearer, more traceable work products.

For standards behind this approach, see Foundations.
If you need implementation guidance, see Consulting.

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Consulting →
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