Diary studies ask participants to log their own behavior over days or weeks, which means the data that comes back is messy, uneven, and scattered across whatever format each participant happened to use. Turning that into something a product team can act on is the core of this job, and it is done entirely from a home office.
This is a full-time, fully remote position open to candidates anywhere in the world, paying $89,000 a year. There is no headquarters attached to the role and no location requirement beyond a reliable internet connection. The employer is hiring a diary study research coordinator to run studies from planning through synthesis, on behalf of product and design teams that need real behavioral data rather than assumptions.
Candidates should hold a bachelor's degree in human-computer interaction, design, business, or a closely related field, and bring at least 24 months of hands-on experience running research studies, diary studies specifically or comparable longitudinal methods. Two years is not a long runway, but it is enough time to have made mistakes on a live study and learned from them, which matters more here than any single credential.
Strong analytical instincts and confident stakeholder communication are non-negotiable. A coordinator who can spot a pattern across forty days of scattered participant logs, but cannot explain that pattern clearly to an engineering lead in a fifteen-minute meeting, will struggle in this role. Both halves of the job get exercised constantly.
The strongest fit tends to be someone who is comfortable with ambiguity in the data but disciplined about the process around it. Diary studies rarely come back clean: participants skip days, log the wrong thing, or interpret an instruction differently than intended. Coordinators who thrive here plan for that upfront, build in redundancy, and treat the messiness as expected rather than as a problem to panic over each time it shows up.
The job centers on planning and running research tied to diary studies, then synthesizing whatever comes back into insights a team can use. Findings do not stay in a report; they feed directly into product, design, and engineering decisions, and the coordinator is expected to stay involved as those decisions get tracked and revisited. It is closer to an ongoing partnership with the teams being served than a one-off research handoff.
Unlike a single usability test that wraps up in an afternoon, a diary study asks the coordinator to hold a study open over an extended window, checking on participant engagement while the actual behavior being studied continues to unfold in real time. That extended timeline is where most of the coordination work lives, well before any synthesis begins.
User research methods form the foundation here, and Remoteroles notes that candidates who have specifically run diary or longitudinal studies before tend to move faster in the first month than those coming from survey-only backgrounds. Familiarity with Figma or a comparable prototyping tool is expected for reviewing designs alongside research findings, and comfort with data analysis, whether in a dedicated analytics tool or a spreadsheet, is assumed rather than taught on the job.
None of these tools are treated as optional extras. A coordinator who cannot open a prototype in Figma to check whether a research finding still applies to the current design, or who needs heavy support to build a clean summary table from raw diary entries, will find the pace of this role difficult to sustain.
Studies run on their own timeline, not a nine-to-five clock, so the schedule flexes around participant activity: check-ins during the logging window, heavier analysis time once data collection closes, and synthesis sessions with stakeholders on a set cadence. Overlap hours with the product and design team are expected for the collaborative parts of the job, while the analysis work itself can happen whenever concentration is highest. Video calls, a shared research repository, and async written updates carry most of the collaboration.
A typical study might run three weeks: a week to recruit and brief participants, ten to fourteen days of active logging with light daily check-ins, and a final stretch of analysis and readout preparation. Because participants are rarely all in one time zone either, a fair amount of the logistics work happens asynchronously by design, not as a workaround.
The role pays $89,000 annually as a full-time position. Full-time diary study research roles at this level commonly include a standard benefits package built around health coverage, paid time off, retirement plan matching, and a stipend toward a home office setup, since the job depends on a workspace that can support long stretches of focused analysis.
Candidates who meet the experience and education bar should apply with a resume and, ideally, a short writeup or portfolio piece from a past diary study, even an academic one. The employer is looking to fill this role with someone who can talk through a real research process end to end, not just describe methods in the abstract. A brief screening call typically comes first, followed by a deeper conversation about a past study and how findings were turned into action. Applications are reviewed on a rolling basis, so earlier submissions get earlier consideration.