
If you’re searching for Dedoose pricing, you’re likely weighing flexibility and cost against speed and automation. Dedoose has long appealed to researchers who want a cloud-based, pay-as-you-go qualitative analysis tool without committing to expensive annual licenses.
But in 2026, pricing questions have shifted.
It’s no longer just “How much does the software cost?”
It’s “How much researcher time does this workflow still require?”
As a UX researcher who has used Dedoose across academic work, collaborative evaluations, and client projects, I’ve found the subscription price is only part of the equation. Media fees, per-user scaling, and fully manual coding often become the real cost drivers, especially when compared to AI-native platforms like UserCall.
This guide breaks down Dedoose pricing in 2026, what each tier actually includes, and how to think about total cost versus newer alternatives.
Dedoose uses a subscription model tied to usage and team size, which makes it feel affordable at first glance, especially for solo researchers.
There are three main pricing layers.
These plans only charge you in months when you log in, which remains one of Dedoose’s biggest advantages.
Why this works
Where it breaks down
For collaborative projects, Dedoose shifts to per-user pricing.
Accounts can be disabled to control billing, but this adds admin overhead.
Key implication
Once you cross into larger teams, Dedoose behaves more like a traditional per-seat tool, not a lightweight subscription.
For institutions and larger organizations, Dedoose offers custom plans.
These tiers are priced by quote and are designed more for universities and large evaluation teams than fast-moving product orgs.
This is where many teams underestimate total cost.
Each account includes:
Beyond that:
Individually these seem minor, but for media-heavy studies or longitudinal projects, the fees quietly accumulate over time.
In short, Dedoose sells flexibility and collaboration, not automation.
In 2026, most teams compare Dedoose less to tools like NVivo or MAXQDA, and more to AI-native platforms.
The comparison isn’t just feature-based. It’s workflow-based.
This shifts cost from software licenses to researcher hours.
Many teams now use Dedoose selectively:
And use AI-native tools when:
Here are some subtleties that can unexpectedly increase your total cost:
Below is a refined comparison, highlighting features and limitations discreetly:
Subtle insights where Dedoose lags behind UserCall:
For solo researchers or compact teams, Dedoose remains a cost-effective, flexible choice that charges only for active months and supports collaboration on rich data types.
However, in media-heavy or long-term projects, those storage fees and manual coding time can add up—and for larger teams, cumulative user fees may approach or surpass the flat rate of services like UserCall.
From one researcher's perspective: I once spent days manually coding in Dedoose. With UserCall’s AI-driven theming, the same interview set could be coded and analyzed in just a morning. That difference in workflow efficiency is increasingly a key deciding factor.
Dedoose pricing is transparent and flexible: $17.95/month for standard individuals, $12.95 for students, group and enterprise options, plus media charges for audio/video. It's ideal for researchers who need manual control and occasional access.
Yet if your team values automation, scale, and less time spent on manual coding, modern tools like UserCall may provide more long-term value at a comparable cost.