DeepSeek Recommendation Research
- Real participants submit your prompts in DeepSeek Chat and DeepSeek-R1
- Website references and cited sources documented per session
- Research covers both standard and reasoning interfaces
- Structured reports from a channel with a growing international user base
+ 124,000 testers
and not a single bot
11,300
used the Boosttester marketplace1,780,000
completed tasksStep 1/2
Select an AI platform and configure the scenario
DeepSeek User Journey Research
Select AI platform:
Open AI platform
Sign in
Enter prompt
Submit prompt
Repeat scenario
Document findings
Total cost*
Choose the task distribution period for testers:
Faster
No time to wait. Let’s go!
Optimal
A balanced pace and middle ground
Slower
Taking it slow with no rush
- * Covers DeepSeek Chat and DeepSeek-R1 reasoning interface
- Reports compare response patterns across both interfaces
- Research available on a growing international AI platform
Step 2/2
Enter target prompts and your website URL
0/10
🤔 How does the Boosttester task marketplace work?
You create a task
It is saved to Drafts
There you can pay for it after topping up your balance in your account
The service sends the task to executors via a partner
Scenarios are automatically generated by the system, then the task is sent via API to a contractor who finds suitable executors
You review the report and pay for the work
You accept the report or reject it if it is incorrect. Payment is made only for completed and accepted tasks.
How to create a project?
Choose a platform — where you want to test the interaction scenario
Configure activity parameters within the user scenario
Specify search details for the listing — this helps executors find the required content faster.
Add search queries — an important element for interaction.
Specify the link, category, region and key elements of the listing
After payment, the system sends the task to executors via API
You review the results, evaluate actions, and if necessary, send them for revision
Note:
Executors participate voluntarily for a reward. They are not required to leave positive feedback but may share their personal experience of interaction.
All actions are carried out as part of user testing.
DeepSeek Recommendation Research FAQ
What makes DeepSeek research different?
What is covered in a DeepSeek-R1 research session?
What do the reports include?
What other platforms are supported?
