1) If the household purchased or received the technology but does not use it, consider asking why the technology is not used. The same applies when the technology is used only partially (i.e. it has not fully replaced the original source of energy which is still being used).
2) For some technologies, it is important to know not only whether the respondents are using them, but also the extent to which they use them. For example, households that adopt a new cooking technology (e.g. a domestic biodigester) often continue using their old source of cooking energy, albeit to a smaller extent. As a result, reductions in greenhouse gas emissions, air pollution, expenditures, etc. are not as high as you might expect. If this is the case for the technology you are promoting, consider changing the indicator to a degree of adoption – reporting on whether the new technology was adopted fully / mostly / or only partially (the degree must be decided based on clear criteria). In such a case, you should include an additional question:
Q3: To what extent has it replaced the [specify old technology]?
A3: For example: fully (approx. 90-100%), mostly (approx. 65-90%), partially (approx. 40-65%); marginally (less than 40%). The categories must be adjusted so that the enumerators are able to choose the correct one with the information they receive from the interview.
Additionally, consider assessing why they kept using the old technology.
3) Consider also collecting data on how easy it is to use the technology (see guidance), as the ease-of-use has a considerable impact on people’s satisfaction with and demand for the product.
4) If you collect the data by conducting interviews, consider verifying the response by asking the respondent to show you the technology or by asking about how it works, etc.
5) Where relevant, consider also assessing how often the respondent uses the promoted technology by asking "Can you please tell me when did you last use [specify the technology]?". While it is possible that a person used the technology, for example, yesterday but otherwise s/he uses it only once per year, in the total sample of your respondents, such 'accidental' facts cancel each other out. Using this approach will give you more reliable frequency data than you would get if you had asked "How often do you ...?".
6) Consider reporting separately on 1) the number or % of target households / businesses that purchased and currently use the purchased energy friendly technology; and 2) the number or % of target households / businesses that purchased the energy friendly technology but do not use it.
7) To understand whether the purchase can be attributed to your project, consider also asking “Where did you purchase or receive the [specify the technology]?” For your programming purposes, you can also ask about the respondent’s motivations by asking “Why did your household purchase [specify the technology]?