#qualitative-research

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#product-management #ai-hype #team-trust #product-storytelling #customer-retention #churn-analysis
Startup companies
fromblog.logrocket.com
5 days ago

Tools and tactics for staying organized as a product manager - LogRocket Blog

Combine qualitative insights with quantitative data, realistic AI use, team trust rebuilding, and clear storytelling to create authentic product value and early-stage alignment.
Growth hacking
fromMarTech
1 month ago

Spreadsheets can't explain churn - but your customers can | MarTech

Customer retention requires linking quantitative data to qualitative customer conversations to reveal predictable, solvable drivers behind churn.
Online learning
fromeLearning Industry
1 month ago

Leveraging Thematic Analysis To Design Better Learning Journeys

Thematic analysis uses qualitative learner data to identify recurring themes and translate insights into targeted improvements for more effective, personalized eLearning.
Startup companies
fromMedium
1 month ago

The No-BS Guide to User Research for SaaS Startups

User research prevents building products for yourself by revealing real customer problems through observation and conversations.
fromHackernoon
4 months ago

Pair Programming Proficiency: Is it About Experience or Something Else? | HackerNoon

Getting accustomed to working in pairs and familiarizing with partners takes time, but exhibited pair programming skill does not solely depend on experience.
Software development
Mental health
fromPsychology Today
3 months ago

What Do Children and Parents With Misophonia Really Think?

Qualitative studies enrich misophonia research by revealing lived experiences of children and parents, emphasizing the need for targeted therapies.
UX design
fromMedium
4 months ago

What I Learned from Designing a Product Used by 4 Million People Daily

Designing for large-scale applications prioritizes reliability and user habits over aesthetics.
Gradual implementation of changes can reduce user disorientation.
Engaging in qualitative research is essential for understanding user behavior better.
Feedback from diverse user groups is critical in design processes.
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