While many nonprofits and INGOs may have Monitoring and Evaluation software, often, they are designed around a results-based framework. Results based framework is often tightly coupled between different programs, focuses on project management with a strong emphasis on collecting activity and output results. These systems are often too simplistic that concentrates on managing activities and output results or too complicated. Either they focus on simple data collection, visualization, and documentation. Or some are sophisticated but overly complicated, with lengthy implementation, difficult to improve once implemented, and takes a long time to implement. Most monitoring and evaluation systems fail to provide scalable solutions to aggregate results regularly. Those that do may require a significant amount of customization or manual data aggregation.
So without further ado, let's dive into the eight worst mistakes to avoid when choosing monitoring and evaluation systems.
In this article, you will describe the most common monitoring and evaluation challenges and will give you in-depth solutions on how to overcome them.
This article provides a unique case study augmented with video to give you more deep insight. For best experience, start with article first and put on the headphone for deep dive.
Monitoring and Evaluation Challenges
So, let's start this with most challenging obstacles in Monitoring and Evaluation and see how we are able to solve them! Step by Step -
1. Monitoring & Evaluation Is Luxury
This misconception cannot be further from the truth! There is a fallacy in the social impact world that impact measurement is a luxury and necessary evil to satisfy a funder. I have met so many social entrepreneurs who throw the kitchen sink at you like this
- We know that we are already doing social good, why do we need to measure?
- We are an early stage social enterprise just barely struggling to build a business model; measurement is an unnecessary burden
- No one is paying for impact measurement
on and on ....
Most of these arguments are so self-serving or demonstrates a lack of fundamental understanding behind impact measurement.
In our previous blog, SDG 3: Scaling Mobile Healthcare Through Evidence-Based Impact Measurement we describe how hundreds of mobile healthcare project remains at the pilot level, whereas a healthcare delivery organization in India is able to scale an entire program statewide with a careful integration of impact measurement. Here is a clue - carefully designed, iterative process with a systematic data collection and community engagement can do magic.
2. Lack of data trust
There are billions of dollars being spent at the behest of donors, just to find that most reporting data are collected just because congress or board members require every international development project or foundation requires them to report, etc. Many of these program organization take long time and cost a lot with RCT, collecting survey data etc. While this is a necessary evil, it is hardly useful in creating trust with the donors.
Raising the bar for impact management practice, with stakeholders at the center creates better alignment between funders (asset owners, asset managers) and organization working close to the stakeholders (assets). This process requires a culture of impact & outcome alignment, the better language of impact measurement and agreement on improving data culture to improve stakeholder aligned impact. This is a single most missing reason for lack of data trust and perhaps the most colossal waste of precious resources.
3. Missing theory of change driven data collection
Most organizations data collection is either non-existent or missing robust data strategy. If they are collecting data, often they focus on activity and output data which usually do not align and validate the primary mission and vision of the organization. This lack of alignment between the theory of change and data collection ultimately is the most significant barrier to understand social change. Without this alignment it is impossible for an organization to realize WHAT, WHO, CONTRIBUTION,
HOW MUCH and RISK - a critical prerequisite of understanding and communicating social impact.]
Impact Strategy Through Impact Knowledge Graph
What if we have a platform that easy that simplifies all the taxonomy of standards and custom measurement approach? Wikipedia of Impact Knowledge Graph Structured knowledge platform for
- Impact Themes
- Impact Metrics
- Impact Survey & Data
- Outcome & Evidence
This impact knowledge platform is designed for impact practitioners by impact practitioners. With this approach, our goal is to make an impact strategy actionable for everyone and ultimately reduce any barrier of social impact measurement.
4. Data islands and rudimentary data aggregation
To better understand program outcome or results, it is essential that the data collection system is aligned with the theory of change based approach.
- Where do you collect activity and output data?
- Are these data complete?
- What is the core outcome that you seek to achieve?
- How do you know if you are making the right kind of change?
- How can you aggregate results and learn valuable insight in a short time?
The challenge here is that most organizations data collection and program management data system is all over the place. An overwhelming number of organizations still collect results in MS-Excel, Google Spreadsheets or custom database solution. While MS-Excel and Google Spreadsheet based solutions are easy to set up and learn, there are many limitations --
- Without robust data management, organizations create data islands over period time making it difficult to track data
- Impact framework and metrics can keep changing year after year, making it challenging to manage data
- Even within excel, after every event or field data collection, someone must merge data and re-apply formula adding lots of error and time
- Excel inherently doesn't understand the theory of change
- Excel is not the best analytics platform
Ultimately, a typical organization ends up using 4 to 6 different tools to achieve all the objectives of impact measurement, increasing significant time and resources wastage.
Lean Data Measurement & Analytics
Impact Cloud provides scalable lean data measurement & analytics, by
- Theory of change & data alignment
- Scalable data warehouse
- Integrate standardize outcome & evidence library
Our ultimate goal is to make impact measurement & management simple by making MS-Excel / Google Sheet based approach obsolete and provide the most compelling solution compared to a platform such as Salesforce.
5. Weak impact framework is barrier to demonstrating impact
While there are many frameworks - result framework, impact frameworks out there, depending on your organization role, chances are you will start with one of them and modify to meet internal goals. The best framework is the one that often helps align different impact ecosystem players. But where do you start today?
While new global reporting formats such as Sustainable Development Goals (SDG) and other reporting frameworks like IRIS and GRI have emerged, most organizations not have the capacity to align all their internal theory of change or measurement goals with global standards and structure.
6. Lack of stakeholder voice in measuring social impact
The primary purpose of impact measurement is to drive a better outcome for the beneficiary. Who are our stakeholders? According to principles of Social Value International, stakeholders are who affects and are affected by your activities. However, do you have a system that communicates stakeholder's user experience or satisfaction or dissatisfaction?
- Do we think reporting how many beneficiaries served makes sense?
- Does it make sense to report the number of meals to children while needs often tend to outstrip any intervention?
The real questions that you should answer is,
- Don't talk about how many beneficiaries benefited from the solar lantern. Talk about how many of them are happy or dissatisfied with a new purchase?
- Are they expressing job satisfaction?
- Are they truly able to improve outcome with the new lending program?
7. Communicating Impact to Donor Funding Difficult
The most significant barrier for funders in making a decision is a lack of visibility between funding and actual impact. Provide the best way to provide impact capital distribution through a better impact evidence.
- Reduce data distance through a better beneficiary voice & stakeholders
- AI-based data analytics and integrate with actionable impact scorecard
- Reduce a distance between funder and stakeholder by providing large scale data integration for distributed & disconnected hierarchical organizations
- Build the best impact evidence approach
8. Custom vs Configure
Customization is expensive, non-flexible, time consuming, and complex
Unlike corporate counterparts, the impact ecosystem organization needs much more scalable and comprehensive solutions. All the above barriers sums up to this question. Only if we have a flexible, comprehensive, configurable system we can have Theory of Change led impact measurement with less resources and have all the stakeholders at the same table.
Impact Cloud is one the most innovative platform that has the potential to make Excel & Customizable Application Platforms (like Salesforce) obsolete for Impact Measurement.
Impact practitioners have demanded such platform and helped us build one to reduce any barrier of social impact measurement & management. Together we are on a mission to achieve the goal of making impact measurement and management simple for everyone. Interested in learning more?