BigCat Research
Which assumptions have been verified during the implementation process, and which should be revised?
Last updated: July 25, 2026
Determining which assumptions are confirmed and which need to be revised during the implementation process is central to program learning.
Every social program starts with some assumptions: the target group participates, the content matches the need, support turns into behavior, local partnership works, follow-up is possible. The implementation process shows which of these assumptions are strengthened and which are weakened. If the evaluation clearly states this learning, the program will be designed more accurately in the new period.
Seeing which assumptions are confirmed and which need to be revised during the implementation process turns the program into a truly learning structure. The first thing that is mentioned in social programs is often the scope: the number of events, the number of people reached, the number of hours of training provided or the support provided. These show the effort of the program; but it does not explain the change itself. The assessment should show how the initial need changes and under what conditions this change is strengthened.
This reading should be done by considering design assumptions, implementation records, field notes, beneficiary feedback, common opinions and result indicators together. Robust evaluation reads the target group profile and baseline together with result indicators. Quantitative data indicates prevalence, beneficiary voice indicates the cause, and documents and records indicate the durability of the result. When these sources are used together, the report becomes both understandable and defensible.
If the assumption is not written down, it becomes difficult to discuss what was learned at the end of the application. This reading How should the program design, resource allocation or scaling decision change for the next period, What results and social value did the program produce for which stakeholders, With what proxies and assumptions can the financial equivalent of these results be modeled and How do assumptions such as deadweight, attribution, displacement and drop-off affect the SROI result gives a more complete framework; because each one makes another moment of the experience visible. In this context, evaluation does not only describe the past period; It also feeds into the next step of the program. It becomes visible which component will be preserved, which support will change, in which target group additional support will be required and which result will continue to be monitored.
Why should the assumption be in writing?
The written assumption makes visible the logic behind which the program was designed. The evaluation should especially not forget external conditions. If the local economy, family support, institutional capacity or other programs affect the outcome, contribution language should be established accordingly.
In this way, what went right or wrong at the end of the application becomes clearer. The same clarity is required from the funder or management. The evaluation becomes defensible when the outcome is linked to the resource used and the quality of implementation.
If there is a lack of data, the department should not remain silent, it should clearly state what is unknown. Missing data does not invalidate the assessment; It only shows which result will be read more cautiously and which indicator will be collected more regularly in the next period.
What does the verified assumption provide?
The verified assumption indicates the part of the program to be protected. The aim here is not to exaggerate success, but to understand the conditions under which change occurs. The strong result must be visible; The limited area should be left open for the new design.
However, it should still be written under what conditions it was verified. The text constructed in this way both embraces the strong side and turns the missing point into an area to be improved without hiding it.
The most important discipline in this topic is not to confuse the result with the contribution. Change may have been seen; However, the question should be asked honestly how much of this was due to the program and how much was due to external conditions or other supports. Thus, the language of success becomes more reliable.
What does the weakening hypothesis say?
A weakened assumption may indicate that the program misread the requirement or underestimated the application condition. If there is a need for follow-up, this should not be written as a weakness. Some changes become meaningful not at the moment of closure, but when they turn into behavior or capacity a few months later.
The robust output is the learning table that compares the program's initial assumptions with implementation evidence and indicates the decision to keep, revise, or retest for each assumption. This table allows the program to learn from experience and makes the new era design more realistic. When using the result, the headings Why should the assumption be written, What does the confirmed assumption provide, What does the weakened assumption say should be kept separate; because social impact often does not proceed in a single line. When translating the output into the new period design, the program team can establish a brief table for target group, type of support, source of evidence, indicator to be monitored and follow-up time. This table is also useful in communicating with the funder; The strong result is explained without exaggeration, and the limited space is put on the development agenda without hiding. When the same structure is repeated in the next measurement, the organization learns not only what it did, but also under what conditions it produced more meaningful change. The brief should also indicate: which finding is strong enough to use today, which finding is merely supportive, and which area should remain open until new data is collected? This distinction increases the credibility of the report and clarifies what the program team will monitor next.
Connected BIG 101 reads
- How do assumptions such as deadweight, attribution, displacement and drop-off affect the SROI result
- How should the program design, resource allocation or scaling decision change for the next period
- With what proxies and assumptions can the financial equivalent of these results be modeled
- What results and social value did the program produce for which stakeholders