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A complete guide to understanding R*—the universal index that measures whether an institution is strengthening or decaying over time.
Imagine you're a donor choosing between two hospitals to support.
Hospital A has impressive annual reports—lots of patients treated, new equipment purchased. But you notice they've had three CEOs in five years, rely on a single government grant that could be cut any election, and struggle to retain nurses.
Hospital B has modest numbers but stable leadership, diversified funding that matches their 10-year building plan, and a training program that produces more nurses than they need.
R* gives you a single number to capture this difference. Hospital A might score R* = −0.3 (fragile, likely to weaken). Hospital B might score R* = 0.5 (regenerative, likely to strengthen).
R* answers the question: "Is this institution getting stronger or weaker over time?"
Every era has tried to measure institutional health. Each approach captures something important—but misses the core question.
Balance sheets and P&L statements
Limitation: Measures money, not mission capability
KPIs, outcomes, outputs
Limitation: Snapshot in time, misses trajectory
Environmental, Social, Governance
Limitation: Compliance checklist, not capacity measurement
SROI, theory of change
Limitation: Project-focused, ignores institutional health
Structural + behavioural regeneration
Trade-off: Requires new data collection practices
Traditional metrics ask the wrong question:
These are snapshots. They don't tell you if the institution will exist in 20 years.
R* asks the fundamental question:
R* measures regenerative capacity—the ability to sustain and strengthen over time.
R* operationalises concepts from Regenerative Cycle Architecture and Alignment Capital—specifically the Δ (decoupling) and Λ (alignment) operators. It turns abstract theory into measurable assessment.
Read the full R* paper →R* combines two dimensions: how well you're designed (structural) and how well you're performing (behavioural).
Three factors that measure architectural strength:
Decoupling
How insulated from external shocks? (political cycles, market crashes, funding cuts)
Alignment
Does funding timing match mission needs? (5-year projects need 5-year money)
Recycling
Does capital return for reuse? (or does it disappear after one use?)
Three factors that measure operational trajectory:
Capability Gradient
Is competence growing or shrinking? (talent retention, skill development)
Stability
How consistent is performance? (erratic vs steady results)
Mission Completion
What % of initiatives reach their goals? (vs abandoned mid-cycle)
R* produces a score from −1 (dying) to +1 (thriving). Here's what each range means:
Example: Underfunded hospital losing staff yearly
Example: Grant-dependent charity between funding cycles
Example: New organisation finding its footing
Example: Community bank with growing member base
Example: Dutch Water Boards (800+ years operating)
R* scores vary widely across institution types. Long-established institutions with diversified funding (like water boards) score highest; politically-dependent and grant-reliant organisations score lowest.
R* works across any institution type. Here are examples from different sectors:
A hospital with stable funding, strong training programs, and leadership succession plans might score R* = 0.4. One with annual budget uncertainty and high turnover might score R* = −0.2.
Key question: Can this hospital serve patients in 30 years?
A climate fund with 50-year capital commitments and diversified income might score R* = 0.6. One dependent on a single government that changes every 4 years might score R* = −0.1.
Key question: Can this fund infrastructure that takes decades to build?
A community bank with growing membership, patient capital, and community governance might score R* = 0.5. A conventional bank focused only on quarterly returns might score R* = 0.1.
Key question: Will this bank serve the community in multiple generations?
A university with endowment income, tenure systems, and knowledge preservation might score R* = 0.7. A startup-funded lab with 18-month runway might score R* = −0.3.
Key question: Will knowledge be preserved and built upon?
ESG measures compliance and risk mitigation—do you have policies in place? R* measures regenerative capacity—can you sustain and strengthen over decades? An institution could score well on ESG (good policies) but poorly on R* (fragile funding, no succession planning).
Yes. A charity might be doing excellent work right now but be entirely dependent on one major donor. If that donor withdraws, the charity collapses. High current performance + fragile structure = low R*.
You need information on funding sources and timelines (structural) plus historical performance data and staff trends (behavioural). Many organisations already have this data—it just needs to be analysed through the R* lens.
The behavioural component uses historical data, making it harder to fake. More importantly, R* measures things that are genuinely hard to fake—you can't pretend to have stable leadership or diversified funding.