The Investor Asked Which ESG Framework You Use — All You Have Are Scattered Excel Sheets

Signals considered

investor explicitly requests ESG report
no systematic environmental or carbon emissions data collection
multiple departments unclear on ESG data scope
reporting framework not yet selected, internal and external expectations unaligned

Illustrative scenario. This article explains business-signal judgement and human verification. It does not represent a real customer, conversation, contract, revenue result or conversion claim.

A call from the CFO’s office. The tone is polite, but the message is unambiguous: “The institutional investor we are meeting next month has explicitly requested to see our ESG report in the due diligence checklist. What do we have?”

You pause for a moment. “What we have right now is — electricity consumption spreadsheets submitted by various departments, a compliance checklist compiled by legal, training hour statistics from HR, and office paper consumption tracked by admin. But the definitions are inconsistent across departments, coverage is incomplete, and none of this is structured against any external reporting framework.”

The CFO is silent for a beat. “So we effectively have nothing.”

This is your starting point. The company has decided to produce its first formal ESG report — but data is scattered across at least five departments, each with different data formats, statistical definitions and time granularities. Environmental data — especially carbon emissions — has almost no systematic collection. Social data — workforce diversity, training investment, supply chain compliance — exists in records but has never been organized for external disclosure. Governance data — board structure, business ethics, whistleblower mechanisms — has policy documents but lacks quantitative indicators.

And you have not yet selected a reporting framework.

More urgently, you quickly realize that framework selection and data discovery cannot be sequential — they are two parallel tracks within the same process. Choose a framework without data to back it, and the report is hollow. Collect volumes of data without knowing what the framework requires, and you may be collecting mostly useless data.

The scenario in detail

You are the first ESG lead at a rapidly growing mid-sized manufacturing company. The company has undergone significant expansion over the past two years — opening an overseas production facility, extending the supply chain into new regions, and doubling the workforce. Meanwhile, ESG questionnaires from customers are appearing with increasing frequency in supplier assessments, investors are beginning to ask about carbon emissions and workforce diversity data at annual meetings, and industry media are publishing public comparisons of peer ESG performance.

Management has decided to produce the first formal ESG report — both as a response to external expectations and as an upgrade to the company’s internal management capability. Your mandate: select an appropriate reporting framework, build a cross-departmental data collection process, and deliver the first report within the given time window.

Why “choose a framework first, then find the data” is the wrong sequence

The first mistake many organizations make when producing their inaugural ESG report is the decision sequence — convene meetings to debate “GRI or SASB,” lock in the framework, then start hunting for data. The result is almost always the same: after the framework selection excitement fades, data collection reality hits. Environmental data the framework requires is unobtainable. Social data definitions are inconsistent. Governance indicators lack baselines.

The correct logic runs the opposite direction: first understand who you most need to report to and what information they most need, then select the framework best suited to conveying that information.

ESG reporting is communication, not compliance. The greatest value of a first ESG report is not satisfying every disclosure requirement of a given framework. It is opening a conversation between the enterprise and its external stakeholders about non-financial performance. If the framework is perfectly chosen but the report content is hollow — because data collection cannot keep up — the report serves neither its readers nor the organization. Conversely, if your data collection starts from “what do stakeholders most care about,” every data point you collect carries a clear communication purpose.

Data availability defines the pragmatic boundary of a first report. Not every data point a framework requires will be collectable in year one. Build a “data readiness” matrix — score each potential disclosure indicator on two dimensions: importance to stakeholders and current data obtainability. The first report should prioritize “high importance + high obtainability” indicators, candidly disclose “high importance + low obtainability” indicators as future improvement areas, and deprioritize “low importance” indicators. This matrix simultaneously helps you determine which framework best covers what you can realistically disclose in year one.

Frameworks are not mutually exclusive. GRI provides a comprehensive disclosure framework. SASB focuses on industry-specific financially material topics. TCFD concentrates on climate risk. Most organizations’ first ESG reports use GRI as the core framework, supplement with SASB industry standards to ensure coverage of investor-priority topics, and reference TCFD recommendations if carbon emissions are material. This “one core, multiple references” strategy is more pragmatic than pursuing full compliance with a single framework — and far more achievable in a first report.

Evidence to verify before choosing a framework and launching data collection

Before selecting a framework and launching data collection, understand the enterprise’s current ESG readiness. The following six evidence items are non-negotiable.

① Stakeholder materiality topics. This is the prerequisite for all subsequent decisions. Identify key stakeholder groups — investors, customers, employees, regulators, communities and supply chain partners — and through interviews and questionnaires understand each group’s core ESG concerns. Do not ask “do you think environmental topics are important” — the answer to that question is always “yes.” Ask instead: “When you evaluate our company, what ESG information do you most want to know but are not currently receiving?” Compile a topic importance ranking segmented by stakeholder group. This ranking is your most important input for framework selection, disclosure scope definition and improvement priority setting.

② Current ESG data availability assessment. Against the GRI and SASB disclosure indicator lists, assess the current data state for each indicator item by item: which indicators have systematic records with traceable data? Which have records but inconsistent definitions? Which have no one collecting them at all? Which are not applicable to your industry and business model? The output is not a complete dataset — it is a “data readiness heat map” colour-coding the collection status of each indicator. Large areas of red — no data — on the heat map are not alarming. What matters is facing them honestly and ensuring the report transparently discloses data boundaries and methodology.

③ Carbon emissions data scoping. For most manufacturing companies, carbon emissions are the highest-attention and hardest-to-collect part of ESG reporting. First, define the organizational boundary — which operational facilities and which emission sources fall within the accounting scope. Then assess data obtainability for Scope 1 — direct emissions — Scope 2 — indirect emissions from purchased energy — and Scope 3 — indirect value chain emissions. Scope 1 and Scope 2 can typically achieve basic coverage in a first report — even if data precision is limited. Scope 3 can typically cover only selected categories in a first report — honestly disclosing the scope and methodology is more credible than forcibly covering all categories.

④ Peer benchmarking analysis. Select three to five peer companies in your industry with similar scale and business model that have already published ESG reports. Analyse the reporting frameworks they use, their materiality topic priorities, the disclosure depth of key indicators, and how they describe data quality. Peer benchmarking is not about copying someone else’s report — it is about understanding industry norms and what baseline disclosure expectations stakeholders hold for your sector.

⑤ Internal data collection process design. ESG data collection is not a one-time project — it will become a recurring activity. When designing the data collection process, consider: which department owns each data point, who is responsible for initial compilation and review, data update frequency, and data storage and version management. A good practice is to create a “data card” for each data point — field definition, statistical scope, data source, accountable owner, update frequency, data quality notes. These cards form the foundational documentation for future ESG data management.

⑥ External assurance needs. ESG report assurance is transitioning from a “nice-to-have” to an “expected practice” — particularly in capital markets and regulated industries. Assess whether stakeholders expect or require external assurance on key data in the first ESG report. If so, define evaluation criteria for assurance providers — industry experience, assurance standard (ISAE 3000 or AA1000), assurance scope and cost. Also note: whether to obtain external assurance for a first ESG report is a strategic decision. Assurance increases credibility but also adds to the preparation cycle and cost, and once you begin external assurance, you need to continue it.

A human next step that builds evidence before commitment

With six evidence items verified, you are ready to make the two most critical decisions in ESG report preparation: selecting the reporting framework and defining the pragmatic scope of the first report.

Select a core framework and define a “one core, multiple references” system. Use GRI as the core framework — for its comprehensiveness and broad stakeholder acceptance — while referencing SASB industry standards to cover the financially material topics most relevant to investors. If carbon emissions are a material topic, also reference TCFD’s four-pillar disclosure recommendations: governance, strategy, risk management, and metrics and targets.
Define the first report disclosure boundary. Based on the data readiness heat map and materiality topic ranking, classify disclosure indicators into three tiers. Tier one — full disclosure — high importance with high data readiness; this is the report’s core content. Tier two — partial disclosure with improvement plan — high importance with low data readiness; transparently describe current data boundaries and estimated improvement timeline. Tier three — deferred — low importance with low data readiness; gradually expand in future reports.
Establish an initial ESG data governance framework. Before data collection begins, form an ESG data working group with representatives from each department — clarify each member’s role, responsibilities and data submission schedule. The goal of the first round of data collection is not perfect data but establishing a repeatable process. Data quality improves over subsequent cycles.

The following items cannot be substituted by a “confirmed” in any chat message or collaboration tool. They must go through formal process by you or the accountable owner:

Final selection of the ESG reporting framework — requires management or board-level confirmation, as it determines the disclosure direction and resource commitment for the years ahead
Materiality assessment results — require formal sign-off, as they are the decision basis for report content and the reference point when responding to external challenge
Carbon emissions accounting organizational boundary and methodology — a technical decision, but one that affects report completeness and comparability; requires joint confirmation by the ESG lead and external advisors
External assurance contract — if external assurance is pursued, the assurance scope, standard and cost must go through formal procurement
Each department’s responsibility in ESG data collection — cannot rely on “we hope everyone will cooperate”; must be formalized through management communication specifying each department’s data submission obligations and timeline

The most dangerous starting point for ESG report preparation is not incomplete data, and not framework selection uncertainty. It is someone deciding on a framework first, then everyone spending months trying to stuff data into it, only to discover that what they produced is neither what stakeholders wanted to see nor what the company is capable of sustaining. Start from what stakeholders want to know. Start from what the company can honestly disclose. These two principles matter more than any framework choice.

Frequently asked questions

GRI, SASB, TCFD, ISSB — with so many frameworks, how do you choose? Is picking the most mainstream one the right answer?

Framework selection does not depend on 'which is most mainstream' but on 'who is the primary audience for your report' and 'what topics are most material to your industry.' GRI (Global Reporting Initiative) is the broadest framework, emphasizing comprehensive disclosure to all stakeholders. If your report targets diverse stakeholders — not only investors but also customers, employees and communities — GRI is a strong starting point. SASB (Sustainability Accounting Standards Board) focuses on industry-specific topics that are financially material. If your primary audience is investors and capital markets, SASB's industry standards provide disclosure requirements directly linked to financial performance. TCFD (Task Force on Climate-related Financial Disclosures) focuses on climate risks and opportunities — essential if your industry has significant climate exposure or is emissions-intensive. ISSB is consolidating these frameworks — watching ISSB's latest standards helps you make future-facing choices. Practical guidance: most companies producing their first ESG report use GRI as the overall framework, supplement with SASB industry standards for financially material topics, and adopt TCFD disclosure recommendations if carbon emissions are a material topic.

Data collection is the most painful part of ESG reporting — how do you avoid being repeatedly told by every department that 'we don't have that data'?

Data collection failure is almost never because 'the data genuinely does not exist.' It is because three preconditions are not met. First, framework requirements have not been translated into field definitions that each department can understand. 'Scope 2 GHG emissions' is meaningless to the HR department, but 'last year's electricity consumption and source for all office locations and operational facilities' is data they might be able to find. Second, data collection time points and accountable owners have not been defined. Not an email saying 'please help provide ESG data,' but a specific data request list per department — each data point mapped to a field definition, a format requirement, a submission deadline and a named submitter. Third, data quality acceptance criteria have not been pre-defined. Some data points may only have estimated values rather than actual measured values — this is not itself a problem, but the report must disclose which data are estimates and what the estimation methodology is. Start with the easiest-to-collect data to build process and trust, then progressively increase data granularity.

Stakeholder materiality assessment sounds vague — how do you keep it from becoming a box-ticking exercise?

If a materiality assessment is reduced to sending an online questionnaire to a few department heads and drawing a matrix chart, it genuinely is a box-ticking exercise. An effective materiality assessment requires three things beyond the questionnaire. One: interviews. Conduct structured interviews with key external stakeholders. The question is not 'do you think this topic is important' but 'when you evaluate a company, what ESG information do you most want to know but typically cannot find.' Two: peer benchmarking. Analyse ESG reports from peer companies in your industry — what topics do they disclose, what metrics do they use, what priorities do they emphasize — this helps you avoid missing default industry material topics. Three: controversy and risk retrospection. Review ESG-related controversies, media attention and regulatory inquiries the company has experienced over the past two years. These events often reveal the topics external stakeholders genuinely care about.