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Quant research tools
Quant research tools
Method
When to use
Tools
Capabilities by methods
Capabilities by features
Pros
Cons and Limits
Method
When to use
Tools
Capabilities by methods
Capabilities by features
Pros
Cons and Limits
Surveys and Questionnaires
5
For large-scale feedback collection, NPS, SUS, CSAT, post-task surveys
5
Survey
Basic analytics
✔️ Free
✔️ Easy to share
✔️ Google Sheets integration
✖️ Limited design and logic features
Large-scale surveys
Respondent panels
✔️ Advanced analysis
✔️ Automated reports
✖️ Subscription cost is high
Survey
CRM integration
✔️Flexible
✔️ Powerful analytics
✔️ Enterprise-ready
✖️ Expensive
✖️ Steep learning curve
(ex-SurveyGizmo)
Flexible survey logic
Integrations
✔️ More customization than competitors
✖️ Less user-friendly interface
User Behavior Analytics
5
For analyzing traffic, retention, funnels, drop-off, clicks and scrolls
5
Web analytic
Conversion
Traffic
✔️ Free
✔️ Industry standard
✖️ Event setup complexity
✖️ GDPR limitations
Funnel
Retention
Product analytic
✔️ Deep cohort reports
✔️ Event-based approach
✖️ Pricey at scale
Funnel
Retention
Behavioral analytic
✔️ Strong product metrics tool
✖️ Learning curve
✖️ Costly for enterprise
Heatmap
Click & scroll tracking
✔️ Easy to start
✔️ Visual insights
✖️ Not for large datasets
✖️ Shallow analytics
A/B and Multivariate Testing
4
For testing hypotheses, comparing metrics (CTR, conversion, task success)
4
In-app Feedback / Micro-surveys
4
For quick in-app feedback, targeted surveys
4
ex Usabilla
Survey
In-app survey
✔️ Strong targeting options
✖️ Requires integration
✖️ Pricey
Survey
In-app message
✔️ Great for support + feedback
✖️ Expensive
✖️ Bundled in platform
Recruitment Panels
3
For running large-scale tests with the right audience (e.g., SUS with 100+ respondents)
3
Niche participant recruitment
✔️ Great for specific audiences
✖️ Expensive
✖️ Slower recruiting
Social and Marketing Polls
3
For quick polls in the users' natural environment
3
Data Warehouse and BI
2
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