B2B SaaS User Persona Framework · CHAPTER 1 OF 5
Getting started
A framework by Upslide Design Studio
The B2B SaaS User Persona Framework
Role & Background
Kunal structures data for analytics teams and ensures that models and data definitions are consistent across the organization.
Characteristics
- Structure-focused and quality-driven
- Strong attention to data lineage and correctness
- Thinks in systems, not one-off analyses
- Prefers consistency over speed
- Risk-averse when it comes to metric definitions
- Acts as a gatekeeper between raw data and insights
- Process-oriented and documentation-minded
Kunal Verma
36 years old
Analytics Engineer
Goals
- Provide clean, reliable datasets.
- Reduce query errors and hand-rolled transformations.
- Ensure consistency of definitions and metrics.
- Enable analytics teams without sacrificing data quality or control
Pain Points
- Analysts using raw tables incorrectly.
- Inconsistent metric definitions across tools.
- Time wasted on data cleanup instead of modeling.
Needs
- AI tools that suggest best practices for queries.
- Tools that help debug and optimize query logic.
- Ability to share reference visualizations with analysts.
The B2B SaaS User Persona Framework
Most Personas Start With the Wrong Details
Many teams build personas around age, gender, hobbies, and personal goals.
That may work for consumer apps.
But in B2B SaaS, users are defined by their role, responsibilities, workflows, and accountability.
If the persona does not explain how the user works, the redesign may look better but still fail in real usage.
Role & Background
Kunal structures data for analytics teams and ensures that models and data definitions are consistent across the organization.
Characteristics
- Structure-focused and quality-driven
- Strong attention to data lineage and correctness
- Thinks in systems, not one-off analyses
- Prefers consistency over speed
- Risk-averse when it comes to metric definitions
- Acts as a gatekeeper between raw data and insights
- Process-oriented and documentation-minded
Kunal Verma
36 years old
Analytics Engineer
Goals
- Provide clean, reliable datasets.
- Reduce query errors and hand-rolled transformations.
- Ensure consistency of definitions and metrics.
- Enable analytics teams without sacrificing data quality or control
Pain Points
- Analysts using raw tables incorrectly.
- Inconsistent metric definitions across tools.
- Time wasted on data cleanup instead of modeling.
Needs
- AI tools that suggest best practices for queries.
- Tools that help debug and optimize query logic.
- Ability to share reference visualizations with analysts.
Most Personas Start With the Wrong Details
Many teams build personas around age, gender, hobbies, and personal goals.
That may work for consumer apps.
But in B2B SaaS, users are defined by their role, responsibilities, workflows, and accountability.
If the persona does not explain how the user works, the redesign may look better but still fail in real usage.
Role & Background
Kunal structures data for analytics teams and ensures that models and data definitions are consistent across the organization.
Characteristics
- Structure-focused and quality-driven
- Strong attention to data lineage and correctness
- Thinks in systems, not one-off analyses
- Prefers consistency over speed
- Risk-averse when it comes to metric definitions
- Acts as a gatekeeper between raw data and insights
- Process-oriented and documentation-minded
Kunal Verma
36 years old
Analytics Engineer
Goals
- Provide clean, reliable datasets.
- Reduce query errors and hand-rolled transformations.
- Ensure consistency of definitions and metrics.
- Enable analytics teams without sacrificing data quality or control
Pain Points
- Analysts using raw tables incorrectly.
- Inconsistent metric definitions across tools.
- Time wasted on data cleanup instead of modeling.
Needs
- AI tools that suggest best practices for queries.
- Tools that help debug and optimize query logic.
- Ability to share reference visualizations with analysts.
This guide is for teams
building or redesigning SaaS software.
This guide is for teams building or redesigning SaaS software.