Measuring climate and community outcomes

When the next hurricane hits, will your data show your project worked... Or just that you were busy? Most Monitoring and Evaluation (M&E) of climate initiatives still reports: ✓ 47 workshops held ✓ 200 people trained Actual resilience: ??? International Institute for Sustainable Development’s NAP MEL Toolkit bridges that gap. 1️⃣ It shifts focus from activities to adaptive capacity Instead of tracking “how much you did,” it helps countries track how much stronger communities and institutions have become. It offers ready-to-use indicators for resilience things like: ↳Diversified income sources ↳Climate-informed planning ↳Early warning systems that reach the most vulnerable These are the real signals of resilience that matter after a climate shock event. 2️⃣ It connects local action to national learning The toolkit shows how to design MEL systems that pull data from projects, local governments, and ministries into a single, coherent national adaptation picture. That means you can stop reporting in silos and start answering strategic questions like: ↳“Which regions are improving fastest?” ↳“Where are our policies working and where do they need to adapt?” 3️⃣ It’s practical for real-world constraints You don’t need a perfect dataset to start. The guide includes step-by-step templates, sample indicators, and case examples from countries like Nepal, Jamaica, and Ghana, showing how they built fit-for-purpose MEL systems within existing budgets. If your climate M&E still measures busyness instead of resilience, this toolkit is your reset button. It helps governments, donors, and practitioners move from counting activities to tracking systems change, and that’s the only kind of monitoring that matters when the next climate shock hits. 🔥 Follow me for Monitoring, Evaluation and Leanring (MEL) resources #MEL #Climate

This document is a hands-on manual created to guide community-based organizations, especially those addressing climate and energy challenges, in developing practical and accessible Monitoring and Evaluation (M&E) systems. Designed as part of the “Monitoring and Evaluation for Sustainable Communities” project at the University of Oxford, it directly supports local action groups that seek to demonstrate their effectiveness, learn from experience, and influence broader policy and public engagement. It is not a theoretical guide but a step-by-step framework built from workshops, interviews, and grassroots experimentation with community groups. The guide presents a full, structured process for designing and managing M&E systems, including: – Explanatory foundations that clarify the meaning, purpose, and benefits of M&E in grassroots contexts – A logic model-based planning approach that aligns aims, objectives, activities, outputs, and outcomes – Guidance for identifying key evaluation questions and deciding which projects to monitor or evaluate – Tools and examples for information collection: surveys, interviews, observation, focus groups, and community-level metrics – Detailed explanations of how to track behavioral change, energy use, resilience, and community engagement – Structured templates for designing indicators, mapping change pathways, and assessing contribution versus attribution – Ethical considerations, data protection practices, and suggestions for communicating findings to stakeholders This document is ideal for small to medium-sized community organizations with limited technical or financial resources for evaluation. It reframes M&E as a locally driven, empowering process that informs internal learning, supports funding strategies, and demonstrates meaningful impact. Whether used for self-assessment or collaborative planning, it offers a complete and adaptable pathway to strengthening accountability and amplifying community-led change.

I've seen too many waste projects designed in the scramble to secure funding, not through genuine community engagement. Here's why that's a recipe for failure... "The community generates about 20 tonnes of waste per day." "People will pay $5/month for collection services." "The main problem is lack of local demand for this waste stream, so we'll introduce processing technology and expect multiple businesses to emerge." I see statements like these in project proposals all the time. The problem is, they're usually complete guesses. Here's the uncomfortable truth: Most waste management projects are built on assumptions, not evidence. After working across 15 countries, I've learned that what gets written in funding proposals and what communities actually need are often worlds apart. The evidence gap looks like: ❌ Waste generation rates borrowed from other cities, not measured locally ❌ Health benefits claimed but no baseline to measure against ❌ Economic impacts assumed, not calculated for this specific context ❌ Environmental conditions unknown before intervention starts Real example: A project assumed a community would embrace composting because "it's environmentally sustainable and creates valuable compost." Reality? The community was already selling their organic waste to nearby farms for income. The composting programme would have eliminated their revenue stream. Guess what happened to adoption rates? 😐 Evidence-based design starts with: ✅ Understanding actual local waste flows, not assumptions from elsewhere ✅ Establishing health baselines so you can measure progress ✅ Economic analysis grounded in local financial realities ✅ Basic environmental data to track changes over time When you build on solid evidence, communities see solutions that actually solve their problems. When you build on assumptions, you create expensive infrastructure that solves problems communities don't actually have. The alternative? Start with listening AND measuring. Spend time understanding the real flows - waste, money, and decision-making. Partner with local people who know their context better than any consultant ever will. Because solutions built on community truth last longer than solutions built on proposal assumptions. How solid is your evidence base? Can you quantify the actual waste flows, health impacts, and economic benefits in your target community? If you're working with estimates and assumptions, it's time to get curious about the real data. What's been your experience with evidence vs. assumptions in development work? --- This is part 2 of my mini-series on the 7 foundations that make waste management projects thrive! Next up: the climate finance opportunity that most funders are missing entirely. Stay tuned!

Stanford has released an important report today produced by the Stanford Law School and Stanford’s Doerr School of Sustainability with the support of the Bezos Earth Fund. Entitled “Investing in Nature to Fight Climate Change and Help Communities Thrive” the report builds on work that I did in the Biden White House to improve the measurement, monitoring, reporting and verification (MMRV) of greenhouse gas emission reductions and removals. Inadequate measurement and monitoring at the project/investment level has opened the door to exaggerated carbon credit claims that have chilled needed investments in specific forestry, agriculture and other nature-based practices that can demonstrably remove carbon from the atmosphere and/or reduce GHG emissions—and which must play a key role in the U.S.’s and the world’s fight against climate change. The report calls for a public/private collaborative that will: (1) identify scientifically-sound and consensus-based data greenhouse gas data collection and modeling protocols for specific practices; and (2) establish an open-source data sharing system that provides broad public access to credible and verifiable greenhouse gas data and analytics at the project level. These recommendations reinforce key principles that the White House laid out last November in its National Strategy to Advance and Integrated Greenhouse Gas Measurement, Monitoring, and Information System. The report also plows new ground by calling on policymakers, economists and ecologists to develop a rating system that puts significant co-benefits like resilience (protecting communities from severe climate impacts), biodiversity, clean water, and other cultural and socio-economic co-benefits into the investment mix. https://lnkd.in/eH7v4iZr #climate #climatesmart #carbon #carbonremoval #MMRV #climateresilience #biodiversity #cleanwater #naturebasedsolutions #NbS #StanfordUniversity #StanfordLaw #sustainability #NaturalCapitalProject

Beyond Reporting: How to Measure CSR Impact Effectively In today’s CSR landscape, impact measurement is no longer optional—it’s essential. Funders, regulators, and communities increasingly expect NGOs and CSR partners to go beyond activity-based reporting and demonstrate tangible social change. But measuring impact effectively isn’t just about tracking numbers; it’s about asking the right questions and using the right frameworks. Here’s how organizations can build stronger, more outcome-driven CSR measurement systems: 1️⃣ Define Impact, Not Just Activities CSR reports often highlight how many beneficiaries were reached, but the real question is: What changed for them? Start with clear Theory of Change models—mapping inputs (resources), outputs (activities), and outcomes (actual improvements in people’s lives). 2️⃣ Set SMART, Context-Specific Metrics Each project needs tailored success indicators. While common frameworks like the SDGs provide a global benchmark, local context matters. ✔ Instead of tracking the "number of students trained," measure the "percentage of students who improved learning outcomes." ✔ Instead of "loans disbursed to MSMEs," measure "increase in revenue or job creation from those loans." 3️⃣ Use a Mix of Quantitative & Qualitative Data Numbers tell one side of the story, but real impact comes to life through voices on the ground. Combine structured data (surveys, KPIs, monitoring dashboards) with beneficiary stories, case studies, and community feedback loops. 4️⃣ Leverage Technology for Real-Time Insights New tools like GIS mapping, AI-driven data analytics, and mobile-based surveys make tracking and decision-making faster and more adaptive. By integrating these, NGOs and CSR teams can course-correct in real-time rather than waiting for end-of-year reports. 5️⃣ Build a Learning Culture, Not Just Compliance The best CSR projects evolve through continuous learning. Rather than just focusing on reporting success, embed structured reviews and reflection sessions to improve implementation. What worked? What didn’t? What should we refine? How are you measuring success in your CSR initiatives? Let’s exchange insights!

Tracking Sustainability in WASH: What Happens After the Project Ends? We often celebrate WASH success with numbers: 💧 Boreholes drilled 🚻 Latrines built 🏘 Communities reached But here are the uncomfortable questions: What happens two years later? Is the water system still working? Are latrines still being used? Can the community manage repairs without external support? If monitoring stops at project closure, we may be measuring delivery, not impact. 🟢 The Sustainability Gap Water ans sanitation systems often fail due to: ⚠ Weak maintenance systems ⚠ Limited local financing ⚠ Inactive management committees within a community ⚠ Climate shocks like droughts or floods Consequences when services fail: ❌ Communities return to unsafe sources and practices ❌ Investments are lost ❌ Coverage data becomes misleading Sustainability is proven over time, not at handover. 🔵 What Should We Measure After Exit? Focus on service performance, not just infrastructure: Water Systems 💧 % of water points functional ⏱ Reliability & downtime 💧 Water quality & quantity Sanitation & Hygiene 🚻 Continued latrine use 🧼 Handwashing practices maintained Governance & Finance 🏛 Active management structures 💰 Fee collection & repair funds Key question: Are services still working for people? 🟠 Moving from Projects to Services Track sustainability effectively with: 📅 Post-project follow-ups (6-12-24 months) 📱 Mobile or remote monitoring tools 🏢 Integration into local government systems 🏘 Community reporting mechanisms 💻 Digital asset tracking Shift focus: From project completion → to service continuity. 🎯 Takeaway In WASH, real success isn’t when construction ends. It’s when services still work years later without external support.

One comment shifted my impact lens. One 30‑minute call revealed a smarter way to measure success in water projects. Sometimes I think that LinkedIn’s biggest gift is the courage to DM strangers. And why since I started posting, it remains my favourite classroom. A while back, I reached out to Prof. Sera Young after she replied to my '10 hard truths in water' post and suggested turning it into a publication. She told me about her background in anthropology, and nutrition, and when talking about water (in)security, asked: “Are we really measuring what people feel?” Our sector still celebrates kilometers of pipe and cubic meters, but not lived experience. That’s where her WISE Scales come in. ➡️ WISE exposes hidden need -100+ organizations across 55 countries use WISE to surface water hardships leaders miss -The 12‑question survey takes three minutes, and the 4‑item version just 60 seconds -WHO and UNICEF endorse IWISE‑4 for SDG 6 because it uncovers gender gaps pipe counts can’t ➡️ WISE links water to bigger outcomes -Water‑insecure households face 2.69× higher odds of moderate‑to‑severe food insecurity -In Nepal, a piped‑water project slashed water insecurity from 22 % to 1 %—a win no logbook showed -These insights now guide a $363 million World Bank investment and countless NGO programs ➡️ WISE reframes project “success” -Switching to experience scores lets us finally ask: Are people thriving? -It translates quality‑of‑life improvements into economic terms decision‑makers understand -Teams can spot inequities early: before headlines, protests, or emergency tankers arrive. Imagine pitching donors with data that shows households sleeping easier, not just pipes laid. Better metrics, better outcomes. So… how would your next water, climate, or social‑impact project change if you measured experiences instead of outputs? Drop your thoughts below. Repost to help your network. Follow Yulia Titova for more water insights.  

How easily numbers can fool s (Even in the impact sector🥲) Some days, your worldview changes simply because you slept badly or skipped lunch. If our own minds can misread reality so quickly imagine what happens inside a 50-page impact report! Across education, gender, and climate, I’ve seen numbers tell beautifully convincing stories that later fail not because teams lacked integrity, but because the measurement itself was fragile. The problem isn’t data. It’s the illusions we build around data. Here are 10 places where impact numbers routinely mislead 1. “Before-after” without asking before what? After what? A girl’s attendance rises in winter? Great! but winter is harvest off-season. Climate: emissions drop during monsoon? Naturally. 2. When small samples pretend to speak for entire regions A pilot with 200 households cannot predict outcomes for 2 million. Especially in climate-sensitive geographies. 3. When one district quietly skews the entire story Education and gender pilots often rely on strong local champions 🙏🏼remove one person and numbers fall apart. 4. When baselines are taken during seasonal extremes A climate project measuring water stress right after the rains will look successful no matter what the intervention is. 5. When indicators are too abstract to mean the same thing everywhere “Women’s agency” in India ≠ “women’s agency” in Africa. Same with “climate resilience” across coastal vs dryland regions. 6. When attribution is assumed, not proved If three NGOs, a government scheme, and a cyclone all hit the same area in the same year who caused what? 🥹 7. When negative externalities are ignored A clean-cooking solution that increases plastic canisters. A solar pump that unintentionally boosts groundwater extraction. 8. When targets are too ‘neat’ for messy realities Education: 100% foundational literacy targets. Climate: fixed adaptation KPIs for landscapes where rainfall patterns now shift every month. 9. When tools are too complex for field teams Apps that never load in low network zones. Survey forms that take 45 minutes. Remote sensing dashboards no one can interpret. 10. When success is defined only by what’s measurable Not everything that matters can be counted such as mindset shifts, trust in institutions, or local political buy-in. Impact numbers are useful but they are not neutral. They are shaped by seasons, incentives, human behaviour, data quality, political pressures, and sheer randomness. If we want real progress in education, gender, climate or anything else, we need a sector that reads data with context, humility and curiosity not blind confidence. If you want help making your team’s metrics sharper, clearer, and harder to misinterpret, I’m happy to engage. #ImpactMeasurement #ClimateAction #Education #GenderEquality #Leadership #MonitoringAndEvaluation #SocialImpact

In Te ao Māori, relationships and broad impacts beyond the individual are crucial to measuring the success of a programme. A good example we are working on at the moment is a cooking skills programme. Standard SROI practice often counts benefits for the direct participant alone, yet in Māori communities, there is significant attention on how impact moves outward through whakapapa connections. When a participant returns home and prepares healthier kai, the whānau’s wellbeing rises too. These second-order effects are central to Māori views of social impact, but many evaluations stop short of capturing them. Tauutuutu is a Māori ethic of reciprocal exchange where people and communities return and escalate one another’s gifts and obligations, building mana and mauri over time within a network of relationships. A Tauutuutu lens shifts the impact dynamic, treating impacts as exchanges within wider relational networks. Practically, it suggests new measures such as mapping relationship density, tracing longer-term shifts in whānau wellbeing, and tracking repeated collaborative ventures within the community. Outcomes begin to reflect collective improvements, not just individual change. SROI can include these dispersed impacts if it does so carefully. Whānau and community outcomes can sit in separate rows with their own evidence, deadweight, attribution, and drop-off, which avoids double-counting and keeps estimates conservative. Aggregated results can then be stress-tested through sensitivity analysis, and any assumptions about ripple effects can be made explicit. This way, broadening the lens does not become an excuse to inflate ratios. This approach acknowledges something essential. In Māori frameworks, wellbeing is relational. Better methods recognise these wider ripples while still holding a disciplined approach to quantifying impact.

OUTCOMES-BASED FINANCING FOR NATURE - A CASE STUDY OF ETHIOPIA Ethiopia’s sustainable land management (SLM) program (World Bank funded) provides a helpful framework of how to operationalize outcomes-based financing for nature in the global south. In the SLM program, the World Bank (primary funds from a multi-donor trust fund) rewards the government of Ethiopia for achieving measurable & pre-agreed outcomes in SLM. By linking funding to verified outcomes such as increased land tenure security, restored ecosystems, & reduced land degradation, these programs aim to strengthen environmental resilience, boost livelihoods, and build institutional capacity. Key programs under Ethiopia’s SLM OBF include; 1. Climate Action Through Landscape Management (CALM) Program - A flagship OBF initiative providing five-year performance-based financing to the Ethiopian government. - Establishes watershed user associations, implements watershed management plans, and issues landholding certificates. - Promotes adoption of sustainable practices, increase carbon sequestration, and strengthen climate-resilient livelihoods. 2. Sustainable Land Management Project (SLMP) - Brought over 900,000 hectares under sustainable management and issued land certificates to households, including landless youth. - Improved soil, water, and food security and laid the foundation for results-based systems in land management. ⸻ How OBF Works Performance-Based Payments: are released only after independently verified results are achieved. Outcome-Focused: Incentivizes sustainable land use, reduced emissions, and ecosystem protection. Institutional Strengthening: Encourages capacity building at all government levels — federal, regional, and local (woreda). ⸻ Other OBF Initiatives BioCarbon Fund Initiative for Sustainable Forest Landscapes (ISFL): Provides results-based payments for verified emission reductions and informs other climate programs. Community Empowerment: benefit-sharing mechanisms to reward local communities for reducing emissions and conserving forests. Green Corridors & Ecosystem Services: Promotes payments for environmental services (PES) and the development of green corridors to enhance biodiversity and landscape connectivity. ⸻ Overall Impact The Ethiopian OBF model for sustainable land management has proven effective in aligning financial incentives with environmental and social goals. It encourages long-term sustainability, enhances Ethiopia’s climate resilience, and provides a replicable model for landscape restoration in other developing countries. ⸻ Read more: World Bank (2023). Climate Action Through Landscape Management (CALM) Program. World Bank (2022). Sustainable Land Management Project (SLMP) Completion Report. BioCarbon Fund Initiative for Sustainable Forest Landscapes (ISFL), World Bank Group. Photo: Aerial photograph of a church forest (7.2 ha in size) in South Gondar, Ethiopia (Klepeis, et al. (2016). Ethiopian Church Forests).