r/Marketresearch

I built a tool where you type a question, it goes out to real consumers (demo-targeted), and an AI layer synthesizes the responses. Marginal cost is ~5¢/response, so n=1000 runs about $50 and completes within a few hours.

The economics are cheap enough that I think it unlocks survey work that currently doesn't happen — stuff that's too small to justify a real study but too important to just guess on.

What I'm curious is If you were me, who's the first customer — agencies doing pre-tests, marketing teams testing ad creatives, founders doing pre-launch validation, somewhere else?

Do you flag straightliners from your survey data?

What is your criteria for removing?

Just curious what other folks are doing. I don’t straight up remove any, but if there are 7 series of grid/likert variables I may set a quality screen to remove those that straight lined at least 3

I’m on a project analyzing old survey data from a survey I didn’t run directly and seeing a number of quality issues.

You’d think experience makes trading easier.

In some ways it does.

But it also makes you more aware of risk.

Earlier:
you only saw opportunity.

Now:
you also see what can go wrong.

That changes behaviour quietly.

Sometimes experienced traders don’t hesitate because they lack conviction.

They hesitate because they’ve seen how fast markets can humble confidence.

Took me years to understand that fear and maturity can sometimes look very similar.

Question for you:
has experience made you calmer… or more cautious?

I have about 5 years full time experience mostly in agencies - mostly quant, some qual adjacent work in digital ethnography using social listening tools.

I've been out of work 6+ months since my last role was mis-sold to me as MR related - it was more customer success related in the financial services industry.

Recently I had my CV reviewed by someone in an AI solutions function at one of the MBB consulting firms. They said I have a strong CV and were happy to refer me when relevant roles opened up.

They advised me to learn Tableau and Alteryx which will help my CV stand out. I've only used Excel in my career thus far - don't really have advanced mastery, mostly pivots etc. I've also not learned stuff like PowerBI or SQL (various reasons, but acknowledge my own culpability).

I'm also reading about other stuff like Looker or Python. What should I prioritise learning at this point assuming I spend most of my day studying?

I'm designing a software that surveys public opinion and open source articles and blogs. The goal is to give users a good idea of how people think about a specific topic.

For you, how many articles+social media comments would be enough as a minimum?

Hello everyone,

I recently started my company and launched our software. I am looking to share my survey, but I am not sure where the best place to go actually is. My survey is on my website.