04 · SROI Methodology
Use: This is the auditable method behind every SROI number we publish. Anyone with this document, the published dataset, and the financial proxies table should be able to reproduce our headline ratio to within ±5%.
Aligned to: Social Value International's Seven Principles of Social Value. We aren't certified to those principles unless our assurer (file 07) says so; we use them as a discipline.
Headline formula
SROI_ratio = (total_present_value_of_outcomes / engagement_fee) × confidence_factor
total_present_value_of_outcomes =
Σ (participants_reached_i
× outcome_change_i
× deadweight_adjustment_i
× attribution_adjustment_i
× drop_off_adjustment_i
× financial_proxy_i)
Where i indexes each outcome we monetise.
Step 1 — Identify outcomes
Only outcomes we can evidence (Tier 2 or Tier 3 in file 01) get monetised. No "implied" outcomes.
| Outcome | Evidenced by | Domain |
|---|---|---|
| Manager confidence to address a mental-health concern | Sprint 1 pulse pre/post | Manager MH |
| Reduction in menopause-related sickness absence days | Client HRIS (if supplied) OR self-report pulse | Menopause |
| Improvement in financial confidence | Sprint 4 / 08 pulse | Financial |
| Reduction in voluntary attrition in target cohort | Client HRIS (if supplied) | Onboarding |
| Manager-led difficult conversations actually held | Sprint 1 retrospective + manager self-report | Manager MH |
If a client cannot supply HRIS data, the Tier 3 outcomes are dropped from the SROI calculation for that client. We do not estimate them.
Step 2 — Quantify the change
For each outcome:
- Outcome change = post-score − pre-score (for pulses); or absolute change (for HRIS-supplied figures).
- Always per-participant, then summed.
- Drop participants with missing pre or post scores. Report the drop rate in the appendix.
Step 3 — Apply discounts
Four discount factors, applied per outcome.
3a. Deadweight (what would have happened anyway)
- Default: 20%. Adjustable up/down based on evidence (e.g. published comparator data, control cohort).
- Source for every deviation from default is logged in the Evidence Room (file 08).
3b. Attribution (how much is us)
- Default: 60% (we usually share credit with line management, HR, broader culture change).
- Adjustable up to 80% only where we have a control cohort or pre/post is dramatic.
- Adjustable down to 30% where the client ran a parallel intervention.
3c. Drop-off (how long does the change last)
- For confidence and skill outcomes: 50% in year 2, 25% in year 3, 0% thereafter (default).
- For policy/process changes (e.g. a menopause policy): 100% year 1, then re-assessed annually.
3d. Displacement (did the benefit just move elsewhere)
- For internal mobility outcomes: 50% discount (one team's gain may be another's loss).
- For attrition outcomes: 0% (saved hire cost is a real saving).
- For wellbeing outcomes: 0%.
Step 4 — Apply a financial proxy
Each outcome gets one proxy. Sources are public and dated. Updated annually.
| Outcome | Proxy | Source |
|---|---|---|
| One day of sickness absence avoided | Average UK day rate per FTE | ONS Annual Survey of Hours and Earnings (latest) |
| One manager equipped to hold a difficult conversation | Cost of one tribunal-eligible HR investigation avoided × probability uplift | CIPD/ACAS investigation cost study (latest) |
| One participant moves from "low financial confidence" to "moderate" | Avoided cost of one StepChange-equivalent debt management intervention × probability uplift | StepChange annual report |
| One voluntary leaver avoided in target cohort | 100% of annual salary for role band (mid-point) | Oxford Economics cost-of-turnover study + client-supplied salary band |
| One menopause-related leaver avoided | Annual salary for role band + £5k recruitment cost | As above |
Proxies are deliberately conservative — when two reasonable sources exist, we use the lower.
Step 5 — Aggregate and compute ratio
total_present_value = Σ across all outcomes
engagement_fee = signed SoW value (Sprint 6 / 07), net of VAT, net of any expenses pass-through
SROI_ratio = total_present_value / engagement_fee
Step 6 — Multiply by confidence factor
See file 05 for the confidence factor calculation. Published number is always post-confidence.
Step 7 — Sensitivity analysis
Three scenarios published with every ratio:
| Scenario | Adjustment |
|---|---|
| Low | All proxies at lower-bound source value; deadweight +10pp; attribution −10pp |
| Central | Default values |
| High | All proxies at upper-bound; deadweight −10pp; attribution +10pp (max 80%) |
Published as a range, e.g. "SROI 2.4 : 1 (low) — 3.2 : 1 (central) — 4.1 : 1 (high), confidence factor 72%."
What we don't do
- Pick the most flattering proxy.
- Use a proxy without a citable source.
- Claim Tier 3 outcomes without HRIS sign-off.
- Round up. We round down at every decision point, then publish the actual figure.
- Publish a point estimate without the range and confidence factor.
Update cycle
- Proxies reviewed annually (Q1) by Head of Impact + external assurer.
- Method versioned (v1.0, v1.1, ...). Year-on-year comparisons recompute prior years using the current method, with both numbers shown.
- Every change logged in the public methodology changelog.
