Corporate volunteering has a measurement problem.

The hours problem

Ask most corporate HR or CSR teams how they measure their volunteering programme, and the answer is the same: total volunteer hours per year. It is tracked in a spreadsheet or an app. It appears in the annual report. It was 12,000 last year and 14,000 this year, so the programme is growing. The metric is easy to collect, easy to understand, and almost entirely uninformative about whether the programme is actually doing anything.

Twelve thousand hours of employees painting school walls is not the same as twelve thousand hours of skilled professionals teaching, mentoring, or building something that lasts. Hours measure input. They say nothing about whether anyone benefited, whether skills were applied usefully, or whether the programme will survive the next leadership change.

What BRSR Principle 8 actually asks

BRSR Principle 8 (Inclusive Development and Equitable Growth) leadership indicators ask companies to disclose the socio-economic impact of their CSR and community programmes. The question is not how many hours were volunteered — it is what changed for the communities and beneficiaries involved. Output counts (hours, people reached, events held) are acceptable for essential indicators. Leadership indicators require outcome evidence: what did participants gain, what improved in the community, what evidence do you have for the claim.

Most companies are not yet reporting at the leadership-indicator level for volunteering. Many will not be required to, depending on their reporting phase. But the trajectory of SEBI’s expectations is clear: the floor rises every year. Companies that have built outcome measurement into their volunteering programmes now will be ahead of the disclosure curve, not scrambling to catch up.

A useful metric framework for volunteering

The shift from input measurement to outcome measurement does not require a large apparatus. It requires three things: a clear theory of change (what is the volunteering programme actually trying to change, for whom), a small set of outcome indicators tied to that theory, and a lightweight data-collection mechanism (a brief beneficiary survey, a post-activity assessment, a partner-NGO report with outcomes built in).

For a skills-based volunteering programme — mentoring, financial literacy, digital literacy — the outcome indicators might be: percentage of participants who can demonstrate the skill one month after the session, or number of participants who report applying the skill in the three months post-programme. Neither requires a PhD. Both are more informative than “we did 800 volunteer hours of financial literacy.”

For community-service volunteering — tree planting, school repair, beach cleanup — the outcome conversation is harder. These activities have real value: they build employee engagement, they demonstrate company presence in communities, they contribute to environmental and social goals. But the honest metric is often employee engagement (did employees feel the programme was meaningful; did it change their perception of the company’s social commitment) rather than community impact — a one-day tree-planting event rarely changes a community’s relationship with its local ecosystem. Reporting it as “community impact” oversells; reporting it as “engaged 200 employees in an environmental activity with positive feedback scores” is accurate and still a good story.

Programme design is upstream of measurement

The hardest part of improving volunteering measurement is that it requires changing programme design, not just reporting format. A programme that was designed to maximise participation (high hours, broad coverage) will generate different data than one designed to maximise beneficiary outcomes (fewer events, more sustained engagement, built-in feedback loops). You can retrofit a measurement framework onto the former, but the numbers will be thin.

The most effective path is to redesign one programme strand per year with outcomes built in: a defined beneficiary group, a theory of change, pre- and post-assessments, a partner NGO that accepts reporting obligations. Run it alongside the existing participation-focused programmes — do not dismantle what builds employee engagement — but grow the outcomes-focused strand until it generates enough evidence to anchor the annual report story.

The two questions worth answering

Every volunteering programme report, and every BRSR P8 disclosure, is ultimately trying to answer two questions. Did this help? And would we know if it did not? A programme that can answer both honestly — even if the answers are “yes, modestly, for this specific cohort” and “yes, because we surveyed them three months later” — is in a better position than one that reports 50,000 volunteer hours with no evidence of what those hours achieved.

Volunteer hours are not a useless number. They are a useful proxy for programme scale and employee participation. They just need to be one metric among several, not the only one. The shift is simple in principle: start with what you are trying to change, measure whether it changed, and report both.