A research project rarely fails in the middle, it fails at the start, in the gap between "we have a research question" and "we're talking to the right people about it in the right way." A pre-task questionnaire is how that gap gets closed. It is quality control, context builder and engagement tool rolled into one step, and skipping it is one of the most common, most avoidable causes of a study that never delivers.

Quick answer: a pre-task questionnaire is any set of questions or activities completed before the main research begins, most commonly a screener that qualifies participants, but also baseline surveys, priming activities like selfie videos or photo tasks, and preliminary interviews that build context. It matters because the quality of a study's output is capped by the quality of the people and preparation that went in before fieldwork even started.

The pre-task questionnaire spans four stages before fieldwork ever starts, each one narrowing the gap between "we have a research question" and a study that actually answers it.

First things first: the research brief

Before writing a single pre-task question, a study needs a roadmap, the research brief. A strong brief is short, often just one or two pages, and clearly defines the problem driving the research, the specific objectives it needs to answer, the target audience, and the methodology and timeline. Poor planning is consistently cited as a leading cause of research and project failure more broadly, and a well-defined brief is the cheapest insurance against it: it keeps the whole team aligned on what the study is actually meant to deliver before a single participant is contacted.

Filtering for quality: the screener as a pre-task questionnaire

The most common pre-task questionnaire is the screener, a short, targeted set of questions that filters potential participants before they reach the main study; Yazi's survey question bank is a useful starting point for building one. A good screener earns its place for three reasons.

• 01It improves data quality. Talking only to people with relevant experience, coffee drinkers for a coffee-brand study, produces answers that actually mean something.
• 02It saves time and money. Weeding out unqualified people before the full survey avoids paying for responses you can't use, which matters most on paid research panels.
• 03It respects the participant. Politely disqualifying someone early, rather than walking them through an irrelevant survey, is a small courtesy that pays off in goodwill for future studies.

Good screener design asks just enough to verify fit, and it asks it well: a behavioural question like "how often do you drink coffee?" beats a blunt "do you drink coffee? (yes/no)", which invites acquiescence bias, the very human tendency to just say yes. Delivering that screener over WhatsApp instead of email matters too, in markets where email surveys see low engagement, a WhatsApp survey reaches people through a channel with real reach, Yazi's own screeners average a 63% response rate across its African panel. A screener is also a study's first line of defence against fraudulent or inattentive respondents; see Yazi's guide to fraud detection on WhatsApp panels for the techniques that catch what a screener alone can't.

The real pre-task work: activities that prime your participants

Once a screener has confirmed the right people, the more interesting work begins. Here the pre-task questionnaire stops being a filter and becomes something more powerful: an activity that gets participants thinking, reflecting and creating before the main research even starts. The richest qualitative insight rarely comes from a cold conversation, it comes from participants who have already spent time engaging with the topic, giving a moderator real material to work with once the session begins.

Selfie videos

A prompt like "film a 60-second clip showing us how you make your morning coffee" captures behaviour, emotion and environment all at once, things a written question could never deliver. The historical obstacle has been collection: asking someone to upload a video to a portal or email a large file kills response rates through pure friction. Delivering that same prompt over WhatsApp removes the friction entirely, people already record and send video on WhatsApp daily, so there's no app to download and no file-size error to hit, they simply tap record.

Photo tasks

"Photograph the snack aisle next time you're at the shop" documents a real environment and a real choice without leaning on memory or self-report. Photo tasks are fast for participants and rich for analysis, and delivered over WhatsApp they arrive instantly with a timestamp, ready for an immediate follow-up probe on anything interesting in the frame.

Journaling and mini diaries

A short journaling pre-task, "for the next three days, message us every time you order food delivery, tell us what and why", builds a longitudinal thread of real moments a moderator can reference directly in the main session, rather than asking someone to summarise their habits from memory; see Yazi's diary study product for the fuller format.

Stimulus review

Asking participants to watch an advert, browse a website, or try a feature before a session gives everyone a shared reference point, which makes group discussions sharper and one-on-one interviews more productive. Sent as a WhatsApp message, a stimulus can be confirmed as opened and followed immediately by a quick reaction question.

Collage and mood board exercises

For more exploratory or emotional territory, asking participants to send a handful of images that capture how they feel about a brand or experience gives them a way to express association and emotion that direct questioning often misses entirely, and those images become a genuine springboard for deeper conversation later.

Why the channel matters as much as the task

Traditional distribution methods for a pre-task, email links, research portals, a dedicated app, all introduce friction, and every extra step between the ask and the response is a place people drop off. WhatsApp removes almost all of it: the pre-task arrives in the same app participants already use to talk to friends and family, and they respond with the same gestures they use dozens of times a day, tap record, take a photo, type a message. That is the core reason pre-task completion rates on WhatsApp tend to outperform other channels, and why the responses that come back tend to feel more natural and less performative.

Going deeper: the pre-interview questionnaire

Sometimes a screener isn't enough, a study needs real context. A pre-study interview, a preliminary, often semi-structured conversation before the main tasks begin, is a qualitative pre-task questionnaire built for exactly that. In a two-week diary study about a new app, for instance, a 20-minute chat upfront to understand each participant's existing digital habits gives the research team invaluable context for interpreting their diary entries later, refining questions and instructions before they've been run at scale.

These interviews used to be slow to run and hard to scale. An AI interviewer built for WhatsApp changes that, asking open-ended questions and probing for detail much like a human moderator would, at a fraction of the time cost. One Yazi client, TBWA, used this to complete over 200 in-depth interviews in under 24 hours, a task that would ordinarily take weeks of manual scheduling; see Yazi's case studies for more examples of that kind of turnaround.

Setting participants up for success with onboarding

Once a pre-task questionnaire has found and understood the right participants, onboarding is the last preparatory step, not a questionnaire itself, but a kickoff call or message sequence that welcomes participants and gets them comfortable before the real work starts. This matters most for longer commitments like diary studies or product trials.

A proper onboarding session humanises the research, builds trust, and measurably reduces dropout, clear, consistent communication with participants is a factor research on study attrition consistently points to, even if the exact size of the effect varies by study design. Using a platform participants already know, like WhatsApp, makes this easier still: there's no new app to download and no unfamiliar interface to learn, which is a large part of why studies run on familiar channels tend to see stronger completion rates.

Frequently asked questions