03.05Fieldwork and Data CollectionAvailable

Incentive and Participation Design

Set what participants receive, in what form and when, and understand how that choice changes who takes part and what they say.

Free. Works on Claude, ChatGPT, Gemini or any assistant that accepts a skill file.

What this skill does

The method, encoded.

Incentive is usually treated as a budget line and decided by precedent: what was paid last time, or what a supplier quoted. That is a mistake with a specific shape. Under-incentivise and you do not get a smaller version of the same sample, you get a differently composed one, concentrated in people who have their own reason to take part: the highly interested, the strongly opinionated at either extreme, and those with time to spare. Over-incentivise and composition shifts the other way, toward people for whom the payment is the point, which raises misqualification, lowers effort, and in some populations raises the question of whether consent was freely given. Neither failure appears in the data as an incentive problem. Both appear as findings.

This skill builds the burden inventory properly (screening, set-up, travel, between-session tasks, intrusion and emotional load, not just interview length), derives the level from burden and population rather than precedent, assesses both composition failure modes explicitly, works through fixed, prize draw, tiered, milestone, charitable and in-kind structures and what each does, handles professional and clinical populations where payment may be restricted, designs non-monetary value including results-sharing that is actually delivered, specifies the payment experience including screen-outs and withdrawal, applies the undue inducement test against participants' circumstances, and drafts the disclosure for the methodology.

Best used for

  • Setting an incentive where no valid precedent applies
  • Choosing between fixed payment, prize draw, tiered and milestone structures
  • Incentivising long, intrusive or multi-stage participation
  • Professional, clinical and B2B populations, including where payment is prohibited
  • Diagnosing whether a completion problem is an incentive problem
  • Designing non-monetary participation value including results-sharing
  • Assessing undue inducement in low-income or dependent populations

Typical inputs

What you give it.

Full burden of participation including screening, set-up, travel and between-session tasks, Population and its relationship to the topic and the sponsor, Sample source, Budget and what can actually be paid, plus any professional or legal restriction, Comparable studies' levels and achieved completion rates (optional), Ethics committee requirements or institutional policy (optional), Local wage or cost data for the population (optional), Previous wave's incentive (optional)

Typical outputs

What you get back.

Burden statement covering every component of participation, Incentive specification with level, structure, timing, partial-completion, screen-out and withdrawal policies, Written derivation of the level from burden and population, Composition risk assessment naming the greater failure mode and the field signal to watch, Restriction check for professional, employer, legal and jurisdictional limits, Undue inducement assessment and routing decision, Recruitment material wording covering the incentive, Non-monetary commitments with form, date and owner, Methodology disclosure paragraph

Method coverage

What the skill works through.

  1. What an incentive is for, and what it must never do
  2. Measuring the real burden of participation
  3. Setting the level from burden and population rather than precedent
  4. The two opposite composition failures: under and over incentivising
  5. Fixed payment, prize draw, tiered, milestone, charitable and in-kind
  6. Professional, clinical and B2B populations, and where payment is prohibited
  7. Non-monetary value, and how results-sharing goes wrong
  8. Payment timing, reliability, screen-outs and withdrawal
  9. Undue inducement in vulnerable and low-income populations
  10. Testing the level at soft launch
  11. Disclosing the incentive in the methodology, and why it matters to interpretation

Download

Free skill. One file.

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How to install

Add the skill file and the five kernel protocols to a Claude Project, a ChatGPT Project, a Gemini Gem, or paste them at the top of any assistant conversation. Then give it your real research material, not a description of it.

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Questions

Common questions.

How much should I pay research participants?

There is no general answer, and any figure quoted as a going rate should be treated with suspicion. The defensible construction is compensation for the participant's total time at a rate appropriate to that population, uplifted for effort type, intrusion and any out-of-pocket cost, and adjusted for how scarce that population's time is. The point of deriving it rather than asserting it is that the derivation is what an ethics committee or a sceptical client can evaluate.

What happens if the incentive is too low?

You do not get a smaller sample, you get a different one. Participation concentrates in people with their own reason to take part: on a satisfaction study, disproportionately the delighted and the aggrieved, producing a more polarised distribution than the population holds; on a category study, the highly involved, inflating engagement, usage and stated interest. Drop-off also rises, and drop-off is never random.

What happens if the incentive is too high?

The payment becomes the reason to participate. Misqualification rises, because there is now a reason to be the person the screener is looking for. Effort falls relative to speed, because throughput becomes the objective. And where the amount is large relative to a participant's means, the ethical question of whether consent was freely given becomes live.

Should I use a fixed payment or a prize draw?

Guaranteed payment is easier to justify, more predictable in its effect, and lets the participant evaluate the offer against the burden, at a higher cost per complete. A prize draw is cheaper and less predictable, because its pull depends on how individuals evaluate a small probability, which varies systematically. Crucially, a draw provides no compensation at all to the large majority, which makes it hard to defend as compensation for time. Reserve draws for short, low-burden participation.

Can I offer incentives to doctors, public officials or corporate employees?

Often not, or not without conditions. Many healthcare systems, public bodies and large regulated organisations restrict or prohibit acceptance of payment, and transfer-of-value rules may require disclosure. Check before offering, never put a participant in the position of having to decline or conceal a payment their employer forbids, and provide a charitable alternative where personal payment is restricted. In senior and professional populations, access to findings, peer benchmarking and the chance to influence something in their field frequently outperform a modest fee anyway.

Is offering to share the findings a real incentive?

It can be, in professional, community and organisational populations, and it is the most commonly botched offer in research. Promised vaguely and not delivered, it damages willingness to participate again more than offering nothing would. Offered properly, it needs a stated form, a stated date and a named person accountable for sending it. It should never be presented as equivalent to compensation for a burden that costs someone real money or a day's work.

What is undue inducement?

An incentive large enough, relative to the participant's circumstances, to distort their judgement about burdens or risks they would otherwise decline. It is a function of circumstances, not of the absolute amount, so the same offer can be entirely appropriate in one population and coercive in another. It needs particular care with people in financial hardship, people in a dependent relationship with the sponsor, and studies with genuine burden or risk, and in those cases it should go to formal ethical review before the level is fixed.

Should participants who are screened out be paid?

Something, yes. Someone who spent five minutes on screening questions and was excluded gave real time and received nothing. A small screening payment or draw entry is fairer, and it protects the long-term willingness of a population you will need again. The same logic applies to partial completion: a stated policy should exist for people who start and do not finish.

Can I change the incentive mid-fieldwork?

Only as a logged amendment. Respondents recruited under different offers differ in motivation by construction, so the change partitions the sample. Capture the offer as a variable, compare the key measures across the two groups before pooling, and record what changed and when. And check first that the problem is really the incentive: a study with a heavy break-off at one question does not have an incentive problem, and raising the payment buys completions from people pushing through something they dislike.

Do I have to disclose the incentive in the methodology?

It is required for most ethics review and publication, and it is good practice everywhere, because incentive structure bears directly on participation-sensitive measures. A reader judging whether a satisfaction score or a stated intention figure is inflated needs to know whether respondents were paid, how much, and whether payment depended on completion. It costs two sentences.

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