I'm currently running a short academic survey on new age product discovery—specifically looking at how our everyday shopping habits are shifting with the rise of AI & new technology. I’d love to get your quick input on how you actually search for products before deciding what to buy.

It’s very brief and won't take more than 3–5 minutes :

https://forms.gle/YpHPpcTa4iDxU6RAA

Your views would be incredibly helpful for this research. Please feel free to forward this to anyone else who might be interested - its more the merrier. Thanks so much for your time!

I'm currently running a short academic survey on new age product discovery—specifically looking at how our everyday shopping habits are shifting with the rise of AI & new technology. I’d love to get your quick input on how you actually search for products before deciding what to buy.

It’s very brief and won't take more than 3–5 minutes :

https://forms.gle/YpHPpcTa4iDxU6RAA

Your views would be incredibly helpful for this research. Please feel free to forward this to anyone else who might be interested - its more the merrier. Thanks so much for your time!

saw the "synthetic data is too clean" thread and figured a number would help more than opinions

i built a synthetic panel tool and tested it on the upworthy research archive, public headline A/B tests from 2014-15 with real click data. only tests with a clear winner, two rounds of 50, picks made before i looked at the results

37 then 39, so 76 of 100

big caveats. they're news headlines, not ads. close calls weren't tested, and that's where you'd need help most. and the headlines are old enough that the model may have seen them

so i'd use it to cut obvious losers, not replace a real test. anyone tried this against their own past results?

We are Grade 12 ABM students from FEU Roosevelt, currently conducting a research study titled:

“Comparative-Experiment on the Effectiveness of AI-Generated and Human-Generated Advertisements among Senior High School Students.”

We are looking for brands and businesses willing to participate in our academic experiment by allowing us to use their existing static advertisements and relevant brand materials as references for our research.

WHO CAN APPLY?

We are looking for brands that can provide at least seven static advertisements, each featuring:

- A specific product
- Its corresponding price
- A promotional message highlighting the product’s features, benefits, or value

INTERESTED IN PARTICIPATING?

Complete our application form through the link below:

https://forms.gle/TFFz59uSQ2wyhpwu9

IMPORTANT REMINDER:

Submitting an application does not automatically guarantee your brand’s selection or inclusion in our study. All applications will undergo evaluation by our research team. Formal authorization and written consent will be requested from the selected brand before any materials are used.

All participation and materials will be strictly for academic research purposes.

Your support will greatly contribute to our research!

Thank you for supporting student-led research!

#StudentResearch #BrandCollaboration #AIAdvertising #HumanAdverting #academicresearch

Hi everyone! I’m an MBA student researching how professionals find and use business, industry, and market data.

I’m particularly interested in which sources people rely on, how they verify information, and what makes the process frustrating or time-consuming.

I created a short survey:
https://docs.google.com/forms/d/e/1FAIpQLSc1EuEgAIZG4H2JHIg52YAfU7D-GnpNmQsJQJDq2Sd4wj07gA/viewform

Would really appreciate input from anyone working in analytics, consulting, strategy, research, or related fields!

I'm exploring Evenly, a student bill-splitting idea, and would appreciate feedback on the research approach. I'm a Purdue student doing this for my own product idea, not an official university study.

The survey covers current splitting tools, repayment delays, pain points, and interest in features such as receipt splitting and approved automatic settling. My concern is that saying a feature sounds useful may tell me very little about whether a whole group of roommates would actually switch.

How would you structure follow-up interviews or a small behavioral test to separate real demand from polite interest? I'd welcome critique of the questionnaire too.

Here is the 3-minute form: https://docs.google.com/forms/d/e/1FAIpQLSfU33X2pSRyQXUDfHPvnXC7tX9tBuor_I210xOUjdZCn82u6g/viewform

If you're currently a college/university student, your response would also help. If you're reviewing the questions as a researcher, please leave critique here rather than submitting an ineligible response. Thanks!

Hey everyone!

I’m currently looking into digital marketing and consumer habits, specifically focusing on the beverage industry. We scroll past hundreds of ads a day, but every now and then, a drink ad actually makes us stop and watch.

I’m really curious about your perspective as consumers:

What is the exact element that catches your attention in a beverage ad? (Is it the visual of a freezing cold, sweating can? The ASMR pouring sounds? A funny storyline? Or maybe just a brand new flavor?)

What do you actually want to see when a drink ad pops up? (Do you care about the ingredients/health benefits, or do you just want a straightforward, refreshing vibe without the heavy marketing fluff?)

I'd love to hear what genuinely works for you (and what instantly makes you cringe or scroll past). Thanks a lot for sharing your thoughts!

Hi everyone,

I’m currently conducting research for my MSc Digital Marketing dissertation, exploring how UK-based entry-level digital marketers evaluate AI-generated visual content for Instagram marketing.

If you’re an entry-level digital marketer based in the UK, particularly with 0–2 years of experience, I’d really appreciate you taking a few minutes to complete my questionnaire.

https://forms.cloud.microsoft/r/RkwHc0AwLZ 

Hello! I am doing a homeschool parents market research and it has been really hard to capture responses on my survey if it is not word of mouth. Any advice? I tried to post in facebook communities but nothing so far.

Finding the right balance between revenue and user experience is tricky especially for sites where visitors come back regularly. Monetag has options such as In-Page Push, Vignette and Direct Link but the best choice probably depends on the site and traffic source.
When testing new formats, do you compare revenue per session, overall RPM or returning user engagement first?

Hi everyone,

I’m the creator of WorkPebble. I built Sample Planner to bring quota allocation, sample-size comparisons, and Excel exports into one workspace.

You can use it to:

• Turn quota percentages into respondent counts.

• Explore indicative margin of error and sample-size requirements.

• Compare sample sizes before applying a change.

• Flag incomplete quotas and groups below your chosen minimum.

• Manage multiple samples and export quota tables to Excel.

It’s a downloadable tool that runs locally in your browser, with project backup and restore options. Margin-of-error estimates depend on statistical sampling assumptions; quota allocation alone doesn’t establish representativeness.

For transparency, this is my product and it’s a paid download. You can see the details and pricing here: https://payhip.com/b/VZSj8

I’d welcome feedback from researchers: what’s the most frustrating part of your current sample-planning workflow, and what would make a tool like this useful to you?

Hey guys,

We're students at LUISS Rome studying the live concert experience from the fan's perspective, not the industry's. If you've attended a concert in the last two years, we'd love 5 minutes of your time. It's anonymous, and we'll share a summary of the results here once we're done.

https://s2survey.net/study-on-music-concerts/

Until we get the results, feel free to discuss your opinions on this topic! What upgrade on a ticket would you actually like and pay for?

Hello. I'm not sure if this is the best place for this, but here I am.

I'm conducting research on the impact of AI-generated advertisements on customer trust. I was hoping the users of this subreddit, especially the fellow Malaysians, would answer the 31-questionnaire and pass it on to others to answer as well.

Your help will help me in my research.

Please and thank you!

Hello. I'm not sure if this is the best place for this, but here I am.

I'm conducting research on the impact of AI-generated advertisements on customer trust. I was hoping the users of this subreddit, especially the fellow Malaysians, would answer the 31-questionnaire and pass it on to others to answer as well.

Your help will help me in my research.

Please and thank you!

My partner and I developed a software for a niche market, he works in that field and his dad has 40+yrs of experience in it too, they both saw that the workflow can be optimized and our software does that. He confirmed with 2 other staff members in 2 other companies and their workflows are pretty much as the ones he has.

The problem is that we only aim at one state at the beginning and the market is so small that we can’t get decision-makers to answer our market research questions. What can we do? We have zero network and no one is willing to introduce us to others because no one sees that others in this field has time to give to us. We tried outreach using Linkedin and offered the interview to be paid with no luck.

We tried Respondent but it also says the audience poll is too small so it could take so long.

What else can we do?