lev-os Preparing ESG And Impact Reporting
Structures ESG and impact reporting for fund investors with metric collection, framework alignment, and progress communication.
When To Use
- Preparing quarterly or annual ESG/impact reports for LPs and institutional investors
- Responding to LP due diligence questionnaires on ESG practices
- Aligning fund-level reporting with frameworks such as SFDR, TCFD, PRI, GRESB, or IRIS+
- Collecting and normalizing impact metrics across portfolio companies
- Communicating progress against stated ESG commitments or impact theses
Inputs To Gather
- Fund ESG policy and impact thesis — stated objectives, exclusion lists, and target KPIs
- Reporting framework requirements — which standards the fund has committed to (PRI signatory obligations, SFDR Article 8/9 classification, TCFD pillars, GRESB modules) [VERIFY framework applicability per fund jurisdiction and LP base]
- Portfolio company data — ESG questionnaire responses, carbon emissions data (Scope 1/2/3 where available), diversity metrics, governance structures, and incident logs
- Prior period reports — previous ESG reports for trend comparison and consistency
- LP-specific requests — custom metrics or formats required by anchor investors or mandate-specific side letters
- Third-party ratings or assessments — any external ESG scores, audits, or certifications held by portfolio companies
- Materiality assessment — sector-specific material ESG factors for each portfolio company
Workflow
Confirm scope and framework alignment
- Identify which reporting frameworks apply (PRI, SFDR, TCFD, GRESB, IRIS+, custom LP templates)
- Determine reporting period, entity scope (fund-level, portfolio-level, or both), and materiality thresholds
- Map required disclosures to available data sources; flag gaps early
Collect and normalize portfolio data
- Distribute standardized ESG questionnaires to portfolio companies or compile from existing data systems
- Normalize units (e.g., tCO2e for emissions, FTE-based diversity ratios) across companies
- Cross-check data against prior periods for anomalies or significant swings — request explanations for material variances
- Mark any estimated, extrapolated, or unavailable metrics with [VERIFY] and document estimation methodology
Calculate aggregate fund-level metrics
- Compute weighted-average or portfolio-aggregate KPIs (e.g., weighted-average carbon intensity, portfolio-level gender diversity %)
- Apply attribution methodology appropriate to fund structure (equity share, enterprise value, or AUM-weighted) [VERIFY attribution method per framework guidance]
- Prepare year-over-year or period-over-period trend data
Draft the report
- Executive summary — high-level ESG performance, progress against targets, and material developments
- Framework-specific disclosures — populate required fields per each applicable standard (e.g., TCFD's four pillars: Governance, Strategy, Risk Management, Metrics & Targets)
- Portfolio company profiles — individual ESG scorecards or narratives for material holdings
- Data tables and visualizations — standardized tables for quantitative metrics; charts for trends and benchmarks
- Methodology and limitations — clearly state data coverage percentage, estimation approaches, and known gaps
- Forward-looking commitments — planned ESG initiatives, engagement priorities, and upcoming milestones
Review and finalize
- Validate all figures against source data; reconcile any discrepancies
- Ensure narrative consistency with quantitative data (claims match numbers)
- Confirm compliance with applicable regulatory disclosure requirements [VERIFY regulatory requirements per fund domicile — EU SFDR, SEC proposed rules, etc.]
- Route to compliance and IR teams for sign-off before distribution
Output
The deliverable is a structured ESG and impact report containing:
- Executive summary with key performance highlights and target progress
- Framework-aligned disclosure sections with populated metrics
- Portfolio-level data tables with methodology notes
- Trend analysis showing period-over-period ESG performance
- Clear identification of data gaps, estimation methodologies, and limitations
- Appendices with raw data tables, glossary of terms, and framework cross-reference index
Format should match LP expectations — typically PDF for formal distribution, with underlying data available in spreadsheet format for LP teams that perform their own analysis.
Quality Checks
- All quantitative metrics trace back to documented source data or clearly marked estimates
- Framework-specific required fields are fully populated — no silent omissions
- Aggregation methodology is consistent across metrics and explicitly disclosed
- Prior-period figures match previously published reports (no unexplained restatements)
- Data coverage percentage is stated (e.g., "metrics cover 85% of NAV")
- Narrative claims are supported by corresponding data points in the report
- LP-specific custom requirements from side letters are addressed
- [VERIFY] markers remain on any data points that could not be independently confirmed
- Regulatory disclosure obligations are met for the fund's domicile and LP jurisdictions