Build effective due diligence or stakeholder survey
Are you an asset manager looking to decide which investment is likely to create the best social or environmental impact? Are you an enterprise looking to collect stakeholder results that can allow you to manage impact effectively?
Impact evidence is critical to raising much-needed impact capital.
So, where do you start? Let's show you how to develop a useful survey that can align with an investor's impact thesis. High-quality impact data is crucial across five dimensions: What, Who, How Much, Contribution, and Risk.
In this article, we will show you how to create an effective due diligence process based on stakeholder surveys. This article will provide a practical understanding of how to collect data across the five dimensions to understand the impact created on people and the planet through your programs. The impact can be both positive and negative - the crux of the matter is to ask and collect data on the right questions.
We will discuss how you can build an impact evidence-based due diligence survey that aligns with five dimensions of impact based on the Impact Management Project and Lean Data approach from 60 Decibel. This approach is relatively new and provides a great start if you are just beginning to establish an impact measurement process for your projects.
According to the impact management project, to effectively measure and understand the impact data needs to be collected across all five dimensions.
The first step requires enterprises to start by understanding who their customers or stakeholders are. Collecting data on demographics and seeking feedback allows us to understand WHAT.
The enterprise might seek more specific feedback from stakeholders about what other kinds of impact, positive and negative, they are experiencing when engaging with the enterprise for the product, service. You can also ask feedback through the operations of the enterprise as an employee, community member, or supplier.
The enterprise will then need data on which impacts are most important (What) to the stakeholder affected, as well as the degree of change (How Much) that have occurred for each.
Self-reported data is collected directly from people such as employees, customers, suppliers who interact with the enterprise. Self-reported data can be either objective or subjective
Impact Cloud's innovative impact strategy allows a better alignment between investors' impact framework and enterprise's intended impact. Both investors and enterprises can collaborate to create self-reported data that can easily align with due-diligence and regular recurring monitoring and evaluation results that investors may be looking to learn.
Once you have designed a survey, you should test the effectiveness of the survey with a limited group. Once finalized, you can use whatever mechanism is best suited for the given situation. Data collection could be door-to-door when collecting data in areas with a poor network, or it could be online if network connectivity is good.
Let us now look at five dimensions in detail and the types of data that need to be collected in each dimension.
What outcome(s) do business activities drive?
How important are these to People (or planet) experiencing them?
Key here is to ask -
- Is enterprise generating a negative or positive outcome?
- Is enterprise delivering a level of outcome above or below a national or international performance standard?
- Is enterprise generating unimportant outcomes?
There four Impact Data Category required to assess "WHAT"
- The outcome level experienced by the stakeholder when engaging with the enterprise. The outcome can be positive or negative, intended or unintended.
- The threshold for a positive outcome. The level of outcome that the stakeholder considers to be positive or 'good enough'. The threshold can be a nationally- or internationally-agreed standard.
- Importance of outcome to stakeholder Stakeholders' view of whether the outcome they experience is important
- Sustainable Development Goals or other globally recognized goals
For example, a gym company that provides high-quality, low-cost services may ask "When you first visited the gym, what improvements in your life were you looking for"?
Who experiences the outcome? How underserved are the stakeholders in relation to the outcome?
There are four impact data category that describes Who
Stakeholder The type of stakeholder experiencing the outcome
The geographical location where the stakeholder experiences the social and/or environmental outcome.
Baseline outcome level The level of outcome experienced by the stakeholder prior to engaging with the enterprise reaching well-served populations? reaching underserved populations
Stakeholder characteristics Socio-demographics and behavioral characteristics of the stakeholder to enable segmentation
Continuing with the same hypothetical gym example, the Gym company could determine our of all the people who join the gym how many of them are overweight?
This gives them a good understanding of how underserved the people are, giving them a good baseline to start measuring their impact effectively.
How much of the outcome occurs across scale, depth, and duration?
The number of individuals experiencing the outcome generating the outcome for a few? Outcome experienced by "how many"?
The "degree of change" experienced by the stakeholder. Are you delivering a small degree of change towards the outcome? Are you delivering a large degree of change towards the outcome?
The period for which the stakeholder experiences the outcome generating short term or long term change?
For example, if the gym company identified that many people were indeed overweight in the "Who" dimension, then they can now ask questions to determine if many people indeed lost weight and are not enjoying the benefits of weight loss. This tells the enterprise the degree to which the outcome is experienced by the stakeholder.
What is the enterprise's contribution to what would likely happen?
The estimated degree of change that would occur anyway for the stakeholder contributing marginally or not at all, relative to what would have happened anyway? Contributing significantly, relative to what would have happened anyway?
The estimated time period that the outcome would last for anyway
For example, the gym company could ask its stakeholders if they have used services from some other company or used some other products to experience weight loss. This would clearly indicate if the outcomes experienced by the stakeholders can be attributed to the Gym company.
What is the risk to people and planet that impact does not occur as expected?
Impact Risk type The type of risk that may undermine the delivery of the outcome taking a low level of impact risk? Taking a high level of impact risk?
Impact Risk level The level of the risk specified in risk type (e.g., High, Medium, Low)
This is a critical data category. In the example, the gym company could continuously measure the number of people who drop-off after starting the program this gives them the drop-off rate, which can effectively tell them the risk they are running toward the product or services they offer to people.
Once results from a large enough population are collected, enterprises can classify results for each effect as shown in the impact scorecard here. Investors can use the information presented for their due diligence. Once an investment is made, investors can request yearly improvement to monitor improvement year after year.