When teams compare qualitative research platforms they often start with the license price. That is understandable, but it is rarely the biggest cost. The true cost of a platform includes the hours researchers spend building boards, the time spent answering respondent problems, the days spent coding, and the cost of a late readout. This post gives you a simple way to compare Recollective and CoLab on total research operations cost, without relying on invented numbers.
Platform price is the smallest line on a real P&L
Researcher hours, failed completes, and delayed readouts dominate. A cheaper tool that costs a senior researcher two extra days per study is not cheap. A tool that loses a tenth of respondents on a media day increases your cost per useful insight.
A worked method: cost per study
Build a simple model for one typical study. Add the license cost allocated to that study, then multiply each person’s hours by their loaded hourly cost (salary plus overhead). Include recruitment and incentives lost to dropouts. You will usually find that labor lines dwarf license costs, which is why speed and quality features matter more than sticker price.
| Cost driver | What to measure | Why it matters |
|---|---|---|
| Authoring | Hours from guide to live | Setup labor repeats with every study |
| Field support | Tickets per 10 respondents | Support time and lost media days |
| Coding | Hours to first theme map | Often the biggest block of senior time |
| Rework | Days slipped before client meeting | Delays cost client goodwill |
| Completes | Share of invited respondents who finish | Failed completes waste recruiting and incentives |
The hidden cost of dropouts
If you recruit 30 people and 24 finish, your effective cost per complete is higher by a quarter, before counting the extra recruiting you may need to replace them. Improving completion by a few points can matter more than a license discount. That is why respondent experience and in-study help belong in a cost conversation.
How CoLab aims to reduce the expensive middle
- Authoring: paste a guide and review a structured board instead of building every question by hand.
- Field support: help inside the board reduces emails and lost media days.
- Coding: AI-assisted themes form while fieldwork is open, so there is less post-field crunch.
- Rework: problems with questions or media are visible early enough to fix.
- Respondents: a browser-based, app-like experience helps people finish on their phones.
Run your own cost comparison
- 1Pick one real guide from a recent study.
- 2Time how long it takes to build the board on each platform.
- 3Run a short pilot with the same kind of respondents.
- 4Count support issues and completes.
- 5Compare how soon you can show an early theme map.
- 6Convert hours to cost using your own loaded rates.
Use your own numbers. A pilot with your guides, your respondents, and your team will tell you more than any generic price sheet.
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