LinkedIn Post Ideas for UX Researchers
10 post ideas written for UX Researchers — use them as-is, or as starting points for posts in your own voice.
1.The usability test that killed a feature six engineers loved
A study-to-decision story with the moment stakeholders watched a user fail in real time. Nothing argues for research like a saved roadmap, and the narrative format makes the value visceral.
2.Five users is not a magic number. Stop quoting it at me
A contrarian post unpacking the most misused heuristic in the field: when small samples work, when they badly do not. Methodological myth-busting is catnip for researchers and educates the PMs reading along.
3.How I get engineers to attend research sessions without mandating it
A how-to on exposure tactics: highlight reels under two minutes, watch parties with pizza, one devastating clip in sprint review. Stakeholder exposure is the field's hardest soft problem.
4.We re-ran a study AI synthesized. It missed the finding that mattered
A data-backed comparison of AI summary versus human analysis on the same transcripts. Concrete evals of AI synthesis tools are scarce, and researchers are desperate for honest ones.
5.A participant cried in a session. What I did next
A practice story about research ethics in the moment: pausing the protocol, the debrief, the consent follow-up. Emotional moments in fieldwork are rarely discussed publicly, and handling them well is the craft.
6.Three research reports nobody read, and the one-pager that changed that
A mistakes post about deliverable formats: the 40-slide deck graveyard versus the decision-focused brief. Every researcher fights the unread-report problem, so format experiments with outcomes get saved.
7.Democratized research gave us more studies and worse decisions
A trend reaction on PMs and designers running their own studies: the coverage gains, the rigor losses, the guardrails that help. A nuanced position on the field's most divisive shift draws every senior researcher.
8.Recruiting niche B2B participants: my week of begging, bribing, and LinkedIn DMs
A behind-the-scenes post on the unglamorous reality of finding eight compliance officers to interview. Recruitment pain is universal, and your working tactics are immediately stealable.
9.Seven signs a research finding will actually change the roadmap
A listicle from experience on impact predictors: a named decision waiting, a stakeholder who watched sessions, a finding with a cost attached. It teaches influence, the skill researchers are not taught.
10.Researchers: what finding did stakeholders refuse to believe until it cost them?
An engagement question about ignored insights and their consequences. Vindication stories are emotionally satisfying to share and quietly make the case for listening to research earlier.
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Try it freeFrequently asked questions
What should a UX researcher post on LinkedIn?
Post the craft and the influence game: method choices, stakeholder tactics, deliverable experiments, and stories where research changed a decision. Anonymize findings but keep the texture that makes them real. The research community on LinkedIn is generous and senior, so methodological depth is rewarded rather than punished. Posts that help researchers prove impact internally, like exposure tactics and decision-linked reporting, travel furthest.
How often should a UX researcher post on LinkedIn?
Once or twice a week is plenty in this field. Research timelines create natural material: each study yields a method note, a recruitment story, and an impact outcome. Given hiring volatility in UX research, a visible body of thinking functions as career insurance; hiring managers consistently check candidates' public presence. Thoughtful comments on other researchers' posts build community standing nearly as fast as posting.
How do UX researchers share work publicly without breaching participant confidentiality?
Share methods and meta-lessons, never raw findings tied to identifiable studies. Strip participant details beyond recognition, aggregate patterns across projects, and check NDA and consent terms before referencing any specific study. The safest high-value content is process: how you recruited, how you structured analysis, how a deliverable format landed. When in doubt, write about the practice of research rather than its outputs; that is what peers want from you anyway.