A Data-Driven Staple
February 14, 2024
A Data-Driven Staple
Score 7 out of 10
Vetted Review
Verified User
Modules Used
- IBM SPSS Statistics
Overall Satisfaction with IBM SPSS Statistics
IBM SPSS Statistics addresses critical business problems for my UX research team, providing helpful capabilities for analyzing quantitative data from user research studies. SPSS allows us to process and interpret large datasets, translating insights into user behavior, preferences, and trends. It allows us to make data-driven decisions to enhance our products. Our use case encompasses various stages of the user research/design process, including survey design, data collection, and analysis. SPSS enables us to efficiently clean data, perform statistical analyses, and generate clear and insightful visualizations to communicate findings effectively to stakeholders. Leveraging SPSS, we can streamline our research workflow, accelerate the pace of insights generation, and ensure that our design decisions are validated by data.
- conducting advanced statistical analysis (ANOVA, regression, etc.)
- data management (cleaning, manipulation, transformation)
- data visualization (creating charts/graphs/plots that are clear and insightful)
- collaboration - SPSS lacks collaboration features which makes it near impossible to collaborate with my team on analysis. We have to send files back and forth, which is tedious.
- integration - I wish SPSS had integration capabilities with some of the other tools that I use (e.g., Airtable, Figma, etc.)
- user interface - this could definitely be modernized. In my experience, the UI is clunky and feels dated, which can negatively impact my experience using the tool.
- Allowed me to effectively communicate research findings to stakeholders
- Allowed me to efficiently run tests in quick timelines
SPSS has impacted our organization and my work as a UX Researcher. It saves time by streamlining data analysis processes, allowing us to focus on deriving actionable insights. SPSS also helps identify trends and pain points among users, guiding iterative design improvements. Additionally, through analysis of customer feedback, it helps uncover pain points to reduce churn and increase user retention.
I can’t speak to the overall business impact, but from my perspective, SPSS has improved our decision-making within the Product org and has facilitated data-driven business pitches for new opportunities. It has been a trusty tool that has enabled us to analyze user behavior, preferences, and satisfaction levels with precision, providing actionable insights that inform strategies. SPSS empowers us to present compelling data-driven arguments to stakeholders, communicating the potential value of new features or enhancements and supporting business/product decisions.
Do you think IBM SPSS Statistics delivers good value for the price?
Not sure
Are you happy with IBM SPSS Statistics's feature set?
Yes
Did IBM SPSS Statistics live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of IBM SPSS Statistics go as expected?
I wasn't involved with the implementation phase
Would you buy IBM SPSS Statistics again?
Yes