Methodology Paper · v1.0 · 2024

Downstream Impact (DSi)

A framework for measuring the systemic second-order effects of business decisions across corporate value chains.

1. Introduction

Traditional business analysis focuses on first-order effects: revenue, cost, profit. But in interconnected economies, every significant corporate decision triggers a cascade of downstream consequences — effects on suppliers, employees, communities, and entire market ecosystems.

Downstream Impact (DSi) is Hypothetica's proprietary methodology for quantifying these cascading effects. It answers the question: "If we make this decision, what happens 2, 3, and 4 steps downstream?"

2. The DSi Score

The DSi Score is a multiplier that expresses the ratio of total systemic impact to the initial decision scope.

DSi Score = (Tier-1 Effects + Tier-2 Effects + Systemic Effects) / Direct Decision Scope

Score 1x–3x: Minimal Downstream Reach — localized, self-contained decision.
Score 3x–6x: Moderate Downstream Reach — affects adjacent stakeholders.
Score 6x–10x: High Systemic Impact — significant value chain disruption.
Score 10x+: Critical Value Chain Exposure — ecosystem-level consequences.

3. Three Tiers of Downstream Effects

Tier 1: Direct Operational Effects

The immediate, measurable outcomes of a decision. Example: Closing a factory → 500 job losses.

Tier 2: Supply Chain & Stakeholder Effects

Effects on suppliers, customers, and partners. Example: 500 job losses → 12 local suppliers lose contracts → 200 additional job losses in the ecosystem.

Tier 3: Systemic & Market Effects

Long-term structural changes in markets, communities, or regulatory environments. Example: Regional unemployment increase → reduced consumer spending → local GDP contraction.

4. Applications

M&A Due Diligence: Map acquisition downstream risks before closing.
Supply Chain Resilience: Identify vulnerable nodes in value chains.
ESG Reporting: Quantify social and environmental downstream footprint.
Policy Impact Assessment: Government and corporate policy analysis.
Investment Risk: Systemic risk scoring for impact investors.

5. Case Study: Manufacturing Decision

A mid-size Indian manufacturer (₹500Cr revenue) decides to shift 40% of procurement to imports to reduce costs by 8%.

Tier-1: 8% cost reduction = ₹40Cr savings.
Tier-2: 18 domestic supplier contracts not renewed → ₹120Cr revenue loss for those suppliers → 800 jobs at risk.
Tier-3: Regional manufacturing cluster weakening → reduced skill pool → long-term competitive disadvantage for the sector.

DSi Score: 7.2x — The ₹40Cr savings decision triggers ₹288Cr in downstream systemic effects.

6. Tools

Hypothetica provides a suite of tools to conduct DSi analysis: explore our tools →

7. Contact & Access

To apply DSi analysis to your business decisions, register your business or contact us at admin@hy.poteica.com.