A month of paid research studies on LazyBounty: 26 Sep to 25 Oct 2026

What happened in the catalogue this month

This report is about the flow of opportunities, not about what participants actually earned. We counted new study cards over 30 complete days, from 26 September through 25 October. The result was 2,281 studies, or roughly 76 a day. That volume means a participant does not need to wait for one supposedly perfect invitation. New options appear every day, although each has its own requirements for country, job, devices or experience.

The total includes studies from Respondent and uTest. LazyBounty also offers survey panels from our official partner, Ipsos iSay, but we keep them out of this count. They work differently: invitations are matched to a profile and rewards are often expressed in points. The distinction matters because the number of cards in a feed is not the number of surveys a particular person can take inside a panel.

The useful signal is not only the total volume. It also shows where it is worth keeping a profile ready. Interviews made up almost half of the monthly flow. Website and app testing plus surveys also supplied many options, but their typical stated amounts were lower. Rare formats can justify more effort when they fit your profile, yet they do not appear often enough to be the whole plan.

• 2,281 new studies in 30 days
• about 76 new opportunities per day
• the main feed sources were Respondent and uTest
• Ipsos iSay panels are shown separately and are not in this total

Formats: where the volume was and where the money was

We grouped new studies by format. Interviews were the most common: 1,005 cards, a median stated reward of $45 and a highest stated amount of $750. That does not promise that every participant will receive $45. The median describes only studies where an amount was named in US dollars before screening. It does, however, make the difference between common and rare formats visible.

There were only 58 diary studies and 40 focus groups. Their medians were $125 and $100, and 72% and 63% of cards with a stated dollar amount paid at least $100. Among the far more common interviews, that share was 23%. A rare format should not be ignored when it genuinely fits your profile. It should also not be presented as an ordinary income stream: across the entire catalogue, there were only about one or two focus groups a day during this month.

Interviews are the main working category

Interviews offered the most practical mix of frequency and reward in this snapshot. There were 1,005 of them, an average of more than 33 new cards a day. Their $45 median is below the figures for diary studies and focus groups, but the opportunity appears much more often. For people with professional experience, this is often the more realistic format because researchers may seek a particular job title, industry, software tool or workflow.

Across the full Respondent history in our feed, starting on 10 August 2026, the median stated payout is $30. Ninety-seven percent of its cards are remote, the median stated duration is 30 minutes and the approximate median hourly rate from the stated time is about $70. This is a comparison point for cards, not a guaranteed wage. It does not include screeners, waiting, cancellations or applications that do not pass selection.

It is worth keeping your job, industry, tools and country accurate in your profile. This does not manufacture more studies, but it helps a relevant study identify you. An untrue answer may open a screener but can fail a consistency check or the conversation itself. Researchers pay for experience that matches a sample, not for the fastest click on an application button.

Surveys are plentiful, but their typical amount is low

We saw 386 surveys during the month, but their median stated payout was $10 and only 4% of cards with a stated amount paid $100 or more. That does not make surveys useless. A short questionnaire can make sense when the criteria are an exact fit and you have a few free minutes. It is not an equivalent substitute for an interview or a focus group if you are comparing opportunities by possible reward.

Survey panels such as Ipsos iSay introduce another boundary. A panel may invite you to surveys from its own account, and the card count in our feed does not describe its rewards or invitation frequency. Ipsos iSay displays the reward for a specific survey before it starts, while availability depends on country and profile. Comparing a $10 amount from a Respondent card with panel points, without converting them and without a country, would be misleading.

The practical rule is simple: check the format, reward, requirements and time first. Apply when a short survey is genuinely for you. If it is not, do not turn it into a long-term income claim merely because it is visible in a feed. A screener rejection does not by itself mean a platform is faulty. The sample may be full or it may not match your profile.

Testing and the amounts we cannot see

Website and app testing ranked second by volume with 477 new cards and a $25 median. It is important to distinguish this from work on uTest. On uTest, payment can depend on approved bugs, test cases, tasks and the quality of work instead of one fixed amount published in advance. That is why our full feed history contains 424 uTest projects and zero of them with a structured payout amount.

Zero does not mean uTest pays nothing. It only means the particular payout field was not published in the card we received. We cannot substitute an average from another service or call those cards unpaid. We also do not add them to the $25 median, because that would create false precision. We report the number of cards but do not assign an amount that the open data does not contain.

For a participant, the conclusion is straightforward. A card with no amount can still be worth attention if its requirements fit and you accept a result-based payment model. It is not a basis for planning income in advance. Consider the time needed for learning, devices, test cycles and the chance that a particular report will be approved.

Why speed matters when you apply

A study remains in our feed for a median of about six days. That does not mean every card lasts six days: some close sooner and others remain open longer. At the same time, registered LazyBounty users who click through to apply do so an average of 16.5 hours after publication. Both figures point in the same direction. When the format and requirements fit, waiting several days is risky.

This is especially true for narrow, well-paid studies. They may need a limited number of people from a particular profession, city or experience group. Feed data does not let us claim that every place is taken within a day, but it does give a practical reason to act in the first day: users already do, and offers do not last forever. Applying quickly does not remove the screening process. It reduces the chance of arriving after recruitment has closed.

A useful habit is to check new studies regularly and keep your profile ready beforehand. You then do not spend the first hours of a card looking up basic information about yourself. Do not apply at random, though. Completing a screener for a profile that is not yours consumes time and can create inconsistent answers later.

What LazyBounty users did

At the time of the count, LazyBounty had 516 registered users. Of those, 325 clicked through to apply 1,134 times in total, and 87 confirmed that they had submitted an application. These figures describe the path inside our product. They do not describe platform selection decisions or payments. One person can click through to several different studies, so 1,134 click-throughs are not 1,134 people.

The difference between a click-through and a confirmed application matters. After a click, a person sees an external platform, its conditions, a screener and possible restrictions. They may decide not to continue, fail to fit the criteria, lack a payment method or simply leave the form unfinished. We therefore do not report 87 confirmations as selected participants. A person is selected only when the researcher or platform confirms it.

For us, the gap shows where the product can improve: explain formats, make limits visible and help people find a relevant card faster. For a reader, it is a reminder not to measure their prospects by one click. A series of accurate applications to suitable studies is more useful than dozens of random visits.

How we counted and the limits of this report

We took new records that appeared in LazyBounty from 26 September through 25 October 2026 and counted each study once. We assigned a format from the wording of the description, not from a hidden platform classification. Our rules for collecting, checking and updating data are set out in our methodology at /guides/how-we-collect-data. The other / unclassified category exists precisely because not every description supports an honest format label.

We calculated the median payout and the $100-plus share only among studies where a reward was named in US dollars. A median is the value in the middle of an ordered list: half of those cards state less and half state more. It is less distorted by a few very expensive projects than an average. The highest value shows the largest stated amount, not a typical reward.

We do not know how many applications each card received, how many people passed a screener, completed a study or received payment. Amounts are stated rewards before possible fees and taxes. The data does not prove that a particular participant can earn a particular monthly amount. It shows which opportunities appeared in the catalogue during the stated period and how they were distributed by the format we could identify from their descriptions.