A specialist research platform for studies that need practitioners, not just a relevant job title. An administrator reviews each application, though skills are self-reported, not independently confirmed.
Opens an email to hello@surveybridge.dev. A few lines is enough: no account, no form. We're early-stage, so we'll be plain about what's possible.
How platform teams decide which workflows to hand to an LLM, and where they draw the line.
People who have built or maintained LLM-powered automations in a work setting.
The tools they use, how long they've worked with them, what they say they know about AI and automation.
A short survey. Country is one of the signals we can read against.
We'd read a brief like this against the profile signals participants provide during verification.
Job titles say where someone sits, not what they have built or run. Studies about AI and automation work are better served by participants selected on role, tools and experience.
Participants describe their professional role, work environment, industry, tools and technologies, experience, and what they know about AI and automation. They also answer specialist questions meant to show real experience.
A SurveyBridge administrator reads each application to judge whether it shows genuine, relevant experience. Answers that look artificial, generated or inconsistent can lead to a participant not being approved.
Only approved participants can take part in research. Opportunities are selected by how relevant a participant's experience, skills, tools, industry and background are to the study, and matches may be reviewed by hand.
After a participant submits, an administrator may review the response for quality and relevance. Rewards follow approval, so finishing a survey isn't enough on its own.
These are research applications we're set up to discuss. They describe what a study could explore, not completed client work.
Ask practitioners how they decide what to automate, which steps keep a person involved, and what happens when an automated workflow fails.
Questions a study could ask
Collect structured reactions to an AI tool, feature or concept from practitioners who can compare it with how they work today.
Could inform What to build, change or cut.
Find out what drives, blocks and governs AI adoption across roles, industries and company environments.
Could inform Positioning, roadmap and go-to-market choices.
Learn which tools and technologies practitioners use, how they combine them, and why they switch.
Could inform Integrations, partnerships and developer experience.
This is the working process we propose for first projects. Details are agreed per project, and we'll say so if a step doesn't suit yours.
A few lines on what you want to learn, who you need to hear from, and how you'd tell they're the right people. A rough scope helps. A finished screener isn't needed.
We compare your criteria with the profile signals participants provide, then tell you what looks feasible, what doesn't, and what we'd need to find out.
Screening criteria, format and what you'll receive are agreed with you before any participant is invited.
Approved participants whose profiles fit are invited. Responses may be reviewed for quality and relevance by a SurveyBridge administrator. We'd then share the responses with you, in a format agreed beforehand.
We don't promise specific participants, sample sizes or completion dates in advance. After reading your brief, we'll tell you what looks realistic and what doesn't.
Here is how the review works, and what it does not establish.
We're starting with a focused audience in three areas.
Professionals who work with AI systems and tools in their jobs.
Professionals who work with workflow automation tools and technologies.
Professionals working in software engineering alongside these technologies.
These five things are different, and we won't let one stand in for another. We don't publish a count for any of them yet.
Plain answers. If yours isn't here, put it in your first email.
We're recruiting people who work with artificial intelligence, workflow automation and modern software engineering as part of their work: those who use, build or work with these technologies, not people who are only interested in the subject. We're starting with a focused audience on purpose and intend to grow it carefully.
Send a short brief. We'll read it against the profile signals participants provide (role, experience, industry, work environment, tools, AI and automation knowledge, and country) and tell you what looks feasible. We won't claim to know how many people fit a set of criteria until we've checked.
Participants describe their professional background and answer specialist questions about their experience. A SurveyBridge administrator reviews the answers to judge whether they show genuine, relevant experience, and only approved participants can take part in research.
It is a human review of what participants report. We don't describe it as independent confirmation of an employer, job title or credential.
In the process we propose, we read it, tell you what looks feasible and what doesn't, and agree the study with you before any participant is invited. The four steps are set out in the process section.
No. We don't guarantee specific participants, sample sizes or completion dates, and we don't promise turnaround times. After reading your brief we'll say what looks realistic, including when the audience looks too thin for your criteria.
Under SurveyBridge's participant privacy policy, companies may receive research responses along with relevant participant attributes, and the policy says its ordinary matching interface doesn't expose participant identity, contact details or internal verification information. What a study delivers, and in what format, is agreed with you before any participant is invited.
Direct contact with participants, such as interviews, isn't something our participant documents describe. If your study needs it, say so in your brief and we'll tell you plainly whether it's possible.
Surveys are the research format SurveyBridge's platform supports today. If you have another format in mind, describe it in your brief and we'll tell you plainly whether it fits.
We don't publish pricing. Share your brief and we'll discuss scope and cost directly.
SurveyBridge's published terms and privacy policy cover participants, not the companies that commission research. If you need specific terms or data-handling commitments for a study, tell us in your first email so we can discuss them before anything starts.
Not yet. SurveyBridge's matching and survey services are operational, but we are an early-stage company with no client case studies or references to show. We would rather you judge us on how clearly we answer your questions than on claims we can't back up. A small pilot is one way to test the fit.
Yes. We're willing to offer a small pilot project to prospective partners. Tell us what you want to learn and who you need to hear from, and we'll discuss scope and requirements for your study. Nothing about a pilot is fixed in advance; we'll agree the details with you before anything starts.
Send a few lines about what you want to learn and who you need to hear from. We'll read them against the audience we have and tell you plainly whether SurveyBridge looks like a fit. A small pilot is a fine place to start.
This opens a draft in your email app. Nothing is sent until you press send. No account or form is needed.
Write to hello@surveybridge.dev
SurveyBridge was founded by Mohammad Sultan. LinkedIn profile (opens in a new tab)
No email app on this device?
Hello SurveyBridge team,
I'd like to discuss a research study.
What we want to learn:
Who we need to hear from (role, industry, tools, experience):
How we'd tell they're the right people:
Scope (format, rough sample size, countries, timing):
About us (company or team, and my role):
Thank you,