Executive Summary
The IRIS+ system, managed by the Global Impact Investing Network (GIIN), is the generally accepted system for measuring, managing, and optimizing impact. For fund managers, implementing IRIS+ provides credibility with limited partners, enables portfolio aggregation and benchmarking, and aligns reporting with industry best practices.
This guide provides a comprehensive roadmap for fund managers seeking to implement IRIS+ across their investment process. We cover:
- Understanding the IRIS+ architecture and taxonomy
- Selecting appropriate Core Metric Sets for your strategy
- A phased implementation approach with clear milestones
- Data collection systems and technology infrastructure
- Portfolio-level aggregation and benchmarking
- LP reporting templates and best practices
- Common implementation challenges and solutions
Key Finding: Our analysis of 50+ fund managers shows that IRIS+ implementation requires 4-6 months from initiation to full deployment. Funds with dedicated impact staff and technology infrastructure complete implementation 40% faster than those relying on spreadsheet-based systems.
1. Introduction to IRIS+
IRIS+ represents the evolution of the IRIS Catalog of Metrics, which has served as the foundation of impact measurement since 2009. The "+" signifies an enhanced system that goes beyond metrics to provide thematic frameworks, evidence-based guidance, and tools for implementation.
Why IRIS+ Matters for Fund Managers
For fund managers, IRIS+ adoption delivers multiple strategic benefits:
LP Expectations
Institutional limited partners increasingly require IRIS-aligned reporting. A 2023 GIIN survey found that 78% of institutional allocators expect fund managers to use standardized impact metrics, with IRIS+ cited as the preferred framework.
Portfolio Comparability
Standardized metrics enable comparison across portfolio companies, vintages, and peer funds. This comparability is essential for portfolio management, performance attribution, and continuous improvement.
Credibility and Due Diligence
IRIS+ adoption signals commitment to impact integrity. During fundraising, demonstrating IRIS+ implementation can differentiate your fund in competitive processes and streamline LP due diligence.
Operational Efficiency
While initial implementation requires investment, IRIS+ ultimately streamlines impact reporting by providing consistent definitions, calculation methodologies, and reporting formats across the portfolio.
IRIS+ vs. Custom Frameworks
Some fund managers develop proprietary impact measurement frameworks tailored to their specific strategy. While custom frameworks can capture nuances, they create challenges:
- Limited comparability with industry benchmarks
- Increased LP education and reporting burden
- Reduced credibility without third-party validation
- Portfolio company confusion across multiple investors
We recommend using IRIS+ as the foundation, supplemented by strategy-specific custom metrics where IRIS+ gaps exist.
2. IRIS+ Architecture
Understanding the IRIS+ architecture is essential for effective implementation. The system comprises four interconnected layers:
Layer 1: Impact Themes
IRIS+ organizes impact around nine thematic areas that align with investor priorities and global challenges:
Layer 2: Strategic Goals
Within each theme, IRIS+ defines Strategic Goals that reflect common investor objectives. For example, within the Energy theme:
- Increase access to clean energy
- Improve energy efficiency
- Reduce greenhouse gas emissions
Layer 3: Core Metric Sets
For each Strategic Goal, IRIS+ provides a Core Metric Set - a curated collection of metrics that represent the essential data points for measuring contribution to that goal. Core Metric Sets include both impact metrics and contextual information.
Layer 4: Individual Metrics
The foundational layer comprises 400+ individual metrics, each with standardized definitions, calculation methodologies, and reporting formats. Metrics are categorized as:
- Output Metrics: Direct products of activities (e.g., MWh generated)
- Outcome Metrics: Changes experienced by stakeholders (e.g., households with energy access)
- Operational Metrics: Organizational characteristics (e.g., employees, governance)
3. Core Metric Sets
Core Metric Sets are the practical starting point for IRIS+ implementation. Each set provides the essential metrics for measuring contribution to a specific Strategic Goal.
Selecting Your Core Metric Sets
Selection should be based on your fund's impact thesis and portfolio composition. Most funds focus on 2-4 Core Metric Sets that align with their strategy.
Example: Clean Energy Fund
Core Metric Set: Clean Energy Access
Essential metrics for measuring contribution to SDG 7.1 (universal energy access)
PI1677
PI8480
PI2764
OI3757
PI4060
Example: Financial Inclusion Fund
Core Metric Set: Financial Inclusion
Essential metrics for measuring contribution to SDG 1 and SDG 8
PI4060
PI9401
PI7098
PI3468
PI2822
4. Implementation Phases
We recommend a phased approach to IRIS+ implementation, typically spanning 4-6 months from initiation to full deployment.
Phase 1: Foundation (Weeks 1-4)
Establish the groundwork for IRIS+ implementation
Phase 2: Design (Weeks 5-8)
Design measurement systems and processes
Phase 3: Pilot (Weeks 9-16)
Test with subset of portfolio companies
Phase 4: Rollout (Weeks 17-24)
Deploy across full portfolio
5. Data Collection
Effective data collection is the foundation of credible impact measurement. We recommend a structured approach that balances rigor with practicality.
Collection Frequency
Most fund managers collect impact data quarterly, aligned with financial reporting cycles. Annual collection may be sufficient for outcome metrics that change slowly, while real-time collection may be appropriate for operational metrics available through automated systems.
Data Sources
Primary Sources (Direct from Portfolio Companies)
- Management information systems (MIS)
- Financial statements and operational reports
- Customer/beneficiary databases
- HR and payroll systems
Secondary Sources (Supplementary)
- Third-party surveys and assessments
- Industry benchmarks and research
- Government and regulatory data
- Independent verification and audit
Data Quality Framework
Implement a data quality framework that addresses:
Accuracy
Data reflects actual conditions and is free from material errors
Completeness
All required metrics are collected across all portfolio companies
Consistency
Metrics are calculated using the same methodology across time and companies
Timeliness
Data is available when needed for reporting and decision-making
6. Technology & Systems
While spreadsheets can support initial implementation, most fund managers eventually require dedicated impact management software to scale effectively.
Key Technology Capabilities
- IRIS+ Integration: Pre-built metric libraries aligned with IRIS+ definitions
- Data Collection: Portfolio company portals for data submission
- Validation: Automated data quality checks and anomaly detection
- Aggregation: Portfolio-level rollup and visualization
- Reporting: LP report generation and export capabilities
- Benchmarking: Industry comparison and peer analysis
Leading Impact Management Platforms
Several purpose-built platforms support IRIS+ implementation:
7. Portfolio Aggregation
Aggregating impact across portfolio companies enables fund-level performance assessment and LP reporting. However, aggregation requires careful consideration of methodology and limitations.
Aggregation Approaches
Simple Summation
For additive metrics like "jobs created" or "households served," sum across portfolio companies. Ensure consistent definitions and avoid double-counting (e.g., when companies serve overlapping populations).
Weighted Aggregation
Weight company contributions by investment size, ownership percentage, or other factors. This approach better reflects the fund's actual contribution to impact.
Attribution
Allocate impact based on the fund's share of total capital deployed. If your fund provided 30% of a company's equity, claim 30% of its impact (subject to disclosure of methodology).
Best Practice: Report both gross impact (total portfolio company impact) and attributed impact (fund's proportional share). Clearly disclose attribution methodology to maintain credibility with LPs.
8. Benchmarking
IRIS+ adoption enables benchmarking against industry peers, though impact benchmarking remains less developed than financial benchmarking.
Benchmarking Sources
- GIIN Annual Impact Investor Survey: Aggregated data on impact metrics across 300+ investors
- IRIS+ Thematic Benchmarks: Sector-specific performance ranges
- Peer Networks: Informal benchmarking within investor networks (e.g., Toniic, CREO)
- Impact Platform Data: Anonymized benchmarks from technology platforms
Benchmark Interpretation
When interpreting benchmarks, consider:
- Stage differences (early-stage companies may show lower impact per dollar)
- Geographic variation (impact per dollar varies significantly by region)
- Sector differences (capital intensity varies across sectors)
- Measurement methodology differences
9. Reporting to LPs
LP impact reporting should complement financial reporting, providing a complete picture of fund performance.
Recommended Report Structure
- Executive Summary: Key impact highlights and portfolio overview
- Impact Strategy: Reminder of fund's impact thesis and measurement approach
- Portfolio Impact Performance: Aggregated metrics with year-over-year trends
- Company Spotlights: Deep dives on 2-3 portfolio companies
- Challenges and Learnings: Transparent discussion of difficulties
- Methodology Notes: Data sources, attribution, limitations
Reporting Frequency
Most funds provide annual impact reports, with quarterly updates on key metrics. Align impact reporting with financial reporting cycles for operational efficiency.
10. Common Challenges
Based on our experience supporting fund managers, these are the most common implementation challenges and recommended solutions:
Challenge: Portfolio Company Data Gaps
Companies lack systems to track required metrics.
Solution: Include data requirements in investment agreements. Provide technical assistance and templates. Start with metrics companies already track.
Challenge: Diverse Portfolio Composition
Different company types require different metrics.
Solution: Use Core Metric Sets as foundation, with company-type specific supplementary metrics. Identify cross-cutting metrics (e.g., jobs, revenue) for portfolio aggregation.
Challenge: Limited Staff Capacity
Small teams struggle to manage impact measurement alongside other responsibilities.
Solution: Invest in automation and technology. Consider outsourced impact measurement support. Prioritize most material metrics.
Challenge: Attribution Complexity
Difficult to isolate the fund's contribution to outcomes.
Solution: Use conservative attribution methodologies. Disclose assumptions transparently. Focus on outputs where attribution is clearer.
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CITE THIS WHITE PAPER
Impact Deals. (2024). IRIS+ Implementation Guide for Fund Managers. Global Capital Network. Retrieved from https://impactdeals.org/insights/white-papers/iris-implementation-guide