An online bulletin board study is a multi-day, written-and-media conversation with a group of people, run on their own phones or computers. Agencies sell these studies to brands, and pricing them well is harder than it looks. The software fee is usually the smallest line. Most of the real cost is senior people’s time, and that time is easy to underestimate.
The core idea of this article: price on the value of the outcome, but cost the study on hours. If you do not know your hours, you cannot tell whether a discount is generous or ruinous.
Price versus cost: two different questions
Cost is what it takes you to deliver the study: platform fees, recruitment, incentives, and people’s hours. Price is what the client pays. The gap between them is your margin. Agencies get into trouble when they set price by looking at competitors and never calculate cost, so a study that looked profitable on paper quietly loses money in hours nobody tracked.
Where the hours actually go
Before you set a price, list every task a study creates. Most agencies only count the obvious ones, such as moderating. The hidden ones turn a healthy project into a loss. ‘Coding’ below means tagging what participants said into themes so you can report patterns.
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| Cost bucket | What inflates it | What compresses it |
|---|---|---|
| Authoring | Blank-canvas rebuilds of the guide | Paste guide / templates |
| Field support | Email-only help; manual reminders | In-board AI support + escalation |
| Media review | Eyeballing every upload | AI flags for mismatches and unreadable images |
| Coding | Post-close scramble | Themes during field |
| Rework | Slipped client meetings | Live visibility + probes |
Read the table from left to right. The first column is a place where time goes. The second is what makes it grow. The third is what keeps it small. A tool cannot make your team smarter, but it can decide which column you live in.
Cost the study with a simple hours model
Estimate hours per role for a typical study, then multiply by loaded rates (salary plus overhead, not just salary). The numbers below are illustrative, not benchmarks; replace them with your own time-tracking data after your first few studies.
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| Task | Role | Illustrative hours (5-day, 30 participants) |
|---|---|---|
| Guide design and client alignment | Senior researcher | 6-10 |
| Board build and QA | Associate / ops | 3-8 |
| Daily moderation and probing | Moderator | 10-18 |
| Participant support and reminders | Ops | 4-10 |
| Coding and synthesis | Senior + associate | 12-24 |
| Debrief deck and client call | Senior researcher | 8-14 |
Notice that moderating is only one row of six. If your quote is built around moderation hours alone, you are missing most of the work.
A simple pricing stack
Build the quote in layers so the client can see what drives the number. Layers also make it easy to say yes to a change request without eating the cost.
- Base: board days × sample size complexity
- Media adder: photo/video intensity
- Language adder: markets and translation path
- Rush adder: sub-week launch
- Insight adder: senior synthesis beyond AI themes
The base covers how long the board runs and how many people you need to manage. The adders cover things that reliably add work: more photos and videos to review, more languages, a tight launch date, or extra senior thinking on top of machine-generated themes.
Two scenarios
Scenario one: a five-day grocery shopping diary with photos from the pantry. The base is straightforward, but the media adder matters because someone has to look at every image. If the platform flags unreadable or off-topic photos for you, that adder shrinks. If it does not, price in reviewer time.
Scenario two: a three-day concept reaction board for a client who wants results in a week. The study is simple, but the rush adder applies, and the risk is rework. If a finding is missing before the client meeting, a senior researcher ends up working a weekend. Live visibility into who has finished and early themes let you fix gaps while the board is still open.
Pricing mistakes that cost agencies margin
- Quoting a flat price with no change-order rules, so every added probe or extra day is free
- Discounting to win, then delivering at full effort
- Ignoring the second and third studies: setup you do once per template should get cheaper, and your price should show the benefit to you, not only to the client
- Treating AI themes as free insight; they save coding time, but senior synthesis is still the product
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