Verified engineers across field, design and digital disciplines: electrical, mechanical, civil, CAD, GIS, oil & gas, software, hardware and data. Screened by discipline and the tools they actually use, because feedback about an engineering product from someone adjacent to engineering is how roadmaps go wrong.
Products built for engineers, hardware, CAD and GIS tools, developer platforms, industrial software, field equipment, live or die on feedback from actual practitioners. And actual practitioners are exactly who generic panels can't deliver. Engineers rarely sit on consumer survey panels, field engineers are physically away from desks for much of the working day, and the audience is famously allergic to anything that smells like marketing dressed up as research.
So teams settle for proxies: the engineering manager instead of the engineer, the analyst instead of the data engineer, the procurement contact instead of the daily user. Proxy feedback is confident, articulate, and systematically wrong about the details that decide whether your product survives first contact with a real workflow.
Working engineers are a thin slice of general panels, and the niche disciplines, GIS, oil & gas, hardware, are close to absent.
Managers and adjacent roles volunteer opinions about tools they don't use daily. It sounds like signal. It isn't.
Site, plant and offshore schedules make fixed-time sessions nearly impossible for the field disciplines.
Engineers disengage instantly from vague, leading, or salesy questions. They reward precise, well-designed studies, and punish the rest with one-word answers.
Our panel is built from working professionals verified against their public professional profiles, with engineering represented across field, design and digital disciplines:
Screening goes deeper than discipline. We qualify participants on the tools they actually run, CAD platform, GIS stack, languages and frameworks, data infrastructure, simulation software, field equipment, plus seniority, industry and their role in specifying or purchasing, so a study aimed at data engineers doesn't quietly fill up with analysts.
Professional profile verification. Real identity, current role, employer and work history checked at sign-up. "Engineer" in a display name is not evidence.
Discipline match. Participants matched to your brief by discipline, industry and seniority, not pulled from a generic "technical" pool.
Custom screener. Tool-usage checks, must-have criteria, disqualifiers and consistency traps before anyone enters your study.
In-study quality controls. Attention and consistency checks flag low-effort or implausible responses.
Quarterly recalibration. Profiles are re-checked so the field engineer you recruit hasn't quietly moved into management.
Work with engineering participants in whichever way fits your project. Recruitment-only: we deliver screened, verified engineers into your own study, your interviews, your survey tool, your usability platform. Full-service: our researchers design, field and analyse the study end to end. Or asynchronous platform studies, which solve the problem that defines this audience.
Field engineers can't hold a Tuesday 3pm video slot from a site, a plant, or an offshore rotation, and software engineers guard their focus blocks for good reason. Asynchronous studies run as moderated conversations over WhatsApp or the web, answered by text or voice when there's a break: end of shift, between deploys, back at the site office. The moderator asks precise follow-up questions, voice answers are transcribed automatically, and engineers, who respect well-constructed questions and have no patience for the other kind, consistently give detailed, technical, usable answers in this format.
Methods available across all three routes: in-depth interviews, structured surveys, concept and preference testing, diary studies for longitudinal workflows, and human evaluation of technical AI tools and outputs by verified engineers.
Research for a warehouse automation venture, exploring how operations and engineering stakeholders evaluate, specify and adopt automation solutions.
User research for a wearable metabolic sensor, hardware and data working together in a demanding real-world use case, informing product and positioning decisions.
Screened recruitment of engineers, including oil and gas professionals in Southeast Asia, for client interviews and concept tests where generic panels came up empty.
Validate concepts, workflows and adoption barriers with the engineers who would actually specify and use your product.
User interviews and usability feedback from software, hardware and data engineers screened by stack, not job-title keyword.
Feedback from daily users of your category, qualified by the exact platforms they run.
Human evaluation and annotation of technical AI outputs by verified engineers who understand the domain, not anonymous crowd-workers.
Verified technical sample and fieldwork for your client studies, with screening and quality controls handled for you.
Working engineering populations for studies where sample authenticity is non-negotiable.
Field, design and digital disciplines, verified before they say a word and screened by the exact stack your product lives in. Tell us who you need and we'll scope it honestly.