They don't want us to turn it into a repeated measure design, they want us to treat restudied participants as an addition to the sample.
If that isn't a repeated-measures design, then what is?
Honestly, this is repeated measures, and disregarding the repeated measurements just because a stakeholder doesn't like it is statistical misconduct, nothing else. (Sorry, I'm not putting the onus on you - I'm putting it on the stakeholder.)
I'm sure that we had a question before that essentially asked why it was not OK to just duplicate or repeat observations to artificially increase our $n$, but I can't find it now. It would be very relevant to your question.
Of course, you can learn a lot from a repeated-measures experiment. Maybe this is enough. Maybe it isn't. If the latter, then you and the stakeholder would best think about why you have already
collected data on all willing volunteers.
That is: why there are no additional willing volunteers. Maybe you need to search more, or offer additional incentives, to get more willing participants. (I am not advocating using unwilling ones.)
That said, if you change your recruitment parameters, I'd recommend modeling this. People who participate in your experiment for 10 USD might be systematically different from people who will only do so for 500 USD. It's a good idea to spend one degree of freedom here, even if this will increase your required sample size even more.
In addition, just why does the stakeholder want to increase the sample size? Is it because the results so far are not to her or his liking? Would she or he be happy and not require additional measurements if the results so far had been "better"? If so, she or he is requesting what is sometimes called "optional stopping". And continuing to collect data until they show some preconceived result is of course another instance of statistical misconduct.
(Sorry for appearing smug about this from the safety of my computer. You have a bad situation on your hands. I'd advise avoiding this stakeholder in the future if you can reasonably do so.)