At the heart of every well-run study sits a single document: the pre-task survey, or research brief. It is the blueprint that decides who you talk to, what you ask, and how you'll know if the study actually worked, and skipping it is the single most common reason research quietly fails to deliver.

Quick answer: a pre-task survey, or research brief, is the planning document that sets a study's objectives, target audience, methodology, deliverables and timeline before any fieldwork begins. It matters because it forces clarity before money and time get spent, it gets stakeholders and the research team aligned on the same goal, and it becomes the reference point every later decision, from screening criteria to question wording, gets checked against.

Laying the foundation: study design and objectives

Before a single question gets written, a study needs a game plan. Objectives and design set the strategic direction for everything that follows, including the pre-task survey itself.

What is a research objective?

A research objective is a specific statement of what you want to learn, the "why" behind the study. "Improve our product" isn't an objective, it's a wish. "Identify the top three usability issues in our app's onboarding flow that cause new users in Nigeria to drop off within the first week" is one: it names the target, the market, and what success looks like. A clear objective like that informs every decision that follows, from methodology down to individual question wording.

What is study design?

Study design is the overall strategy for answering the research question: qualitative or quantitative, or a mix of both, and a single snapshot in time (cross-sectional) or tracked over a longer period (longitudinal), like a diary study. Understanding in-the-moment experience calls for a diary design; a survey asking people to recall the past days later is a weaker substitute. Getting this choice right is what makes the data collected actually capable of answering the question it was collected for.

The blueprint: your pre-task survey

A pre-task survey, often called a research brief, outlines the vision, background, objectives and scope of a study before it begins, and it is the single document that keeps stakeholders and the research team on the same page throughout. A solid brief typically covers six things.

• 01Background. Why is this research needed right now?
• 02Objectives. What specific questions must this study answer?
• 03Target audience. Who exactly are we recruiting?
• 04Methodology. How will the data actually get collected?
• 05Deliverables. What will the final output look like?
• 06Timeline and budget. What are the key milestones and resources; see Yazi's pricing for a starting point on cost estimation.

Skipping this step tends to produce the same pattern every time: unclear goals, the wrong participants recruited, and time and budget spent without a usable result at the end.

Finding the right people: participant selection

Insight is only as good as the people behind it. Participant selection means defining and finding the right individuals, clear inclusion criteria for who you want and exclusion criteria for who you don't, which is what keeps a sample from quietly skewing away from the population it's meant to represent.

For qualitative work like interviews or diaries, quality beats quantity every time, 15 genuinely engaged participants will outperform 50 who are just going through the motions. A screening step built on the objectives already set in the brief is what filters for that engagement; see Yazi's screener question bank for a starting point.

Fraud is the other real risk in online research. Published estimates of fraudulent responses in some online surveys have ranged from around 20% up to nearly all responses in the worst-affected studies, and more recent research on bot-driven fraud suggests the problem has only grown. Verification questions, attention checks, and short video screening calls all help, and a platform with quality controls built into recruitment, matching participants against demographic and behavioural history before a survey even starts, catches a lot of this before it reaches the dataset; see Yazi's guide to quality assurance for mobile-based panels for the wider toolkit.

Designing the study mechanics

Building your question framework

A question framework is the structured plan behind the questions themselves, their wording, order and format, built to produce clear, unbiased data rather than just a list of things to ask.

• 01Be neutral. Avoid leading phrasing that nudges toward a desired answer.
• 02Be clear. Simple wording matters more than it seems, a classic psychology study found that describing a car crash with the word "smashed" instead of "hit" made people estimate higher speeds and even recall broken glass that was never there.
• 03One idea per question. A double-barrelled question like "was the product affordable and useful?" should be split into two separate ones.
• 04Use logic. A funnel approach, broad first, then specific, tends to work best, with skip logic keeping irrelevant questions away from people they don't apply to.

Creating a fair incentive structure

An incentive structure is how participants get compensated for their time, cash, mobile airtime, gift cards, or a charitable donation. Incentives measurably increase response rates, especially for demanding formats like diary studies, but the target is fairness: enough to motivate participation without being large enough to attract fraudulent respondents or edge into coercion. In emerging markets, mobile money or airtime usually outperforms a gift card, and a tiered structure, a small reward per diary entry plus a completion bonus, tends to keep people engaged for the full duration of a longer study.

Mapping out your timeline

Timeline planning schedules every phase, recruitment, fieldwork, analysis and reporting, with diary studies specifically needing a clear duration, prompt timing, and reminder schedule mapped out in advance. Most researchers cap diary studies at one to two weeks to avoid participant fatigue and an unmanageably large dataset, and building in buffer time is worth the discipline. Automated WhatsApp prompts and reminders take the manual chasing out of keeping a timeline on track.

Mastering participant communication and onboarding

Upholding trust: key privacy considerations

Protecting participant privacy is a legal and ethical obligation, not a nice-to-have.

• 01Informed consent. Clearly explain what data is being collected and how it will be used before anyone agrees to join.
• 02Anonymisation. Keep personal identifiers separate from research data to protect participant identities.
• 03Secure storage. Use encrypted, access-controlled systems for anything collected; see Yazi's guide to secure retention and deletion policies.
• 04Legal compliance. Adhere to regulations like GDPR in Europe and POPIA in South Africa; GDPR non-compliance alone can carry fines of up to €20 million or 4% of global annual turnover, whichever is higher.

Being transparent about these measures builds the trust that produces more honest, open responses, and a platform designed for GDPR and POPIA compliance from the start, with regional data storage in the EU or South Africa, makes that transparency easy to back up; see Yazi's data security executive summary for the full picture.

Putting it all together: preparing a diary study

A diary study is where every planning element above has to come together at once.

A thorough process, starting with a detailed pre-task survey that defines the goal before anything else gets decided, is what makes a diary study run smoothly and deliver the rich, in-the-moment insight it's meant to.

Frequently asked questions