A Data-Driven Staple
February 14, 2024

A Data-Driven Staple

Anonymous | TrustRadius Reviewer
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.

Pros

  • conducting advanced statistical analysis (ANOVA, regression, etc.)
  • data management (cleaning, manipulation, transformation)
  • data visualization (creating charts/graphs/plots that are clear and insightful)

Cons

  • 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
I also use or have used Tableau, Excel, and R (wasn’t able to list R above). Tableau is better for visualizations, Excel works for generalized/more basic statistical analysis but lacks more complex features, and R has been difficult for me to master and lacks the UI and ease of use that SPSS has.

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

SPSS is well-suited for the following: 1) User Behavior Analysis: SPSS handles large datasets to analyze user behavior data. 2) Customer Satisfaction / Foundational Surveys: SPSS facilitates analysis of quant data from satisfaction surveys, keeping us informed about customer needs and preferences. 3) A/B test analysis: SPSS statistical tools for A/B test analysis, which helps optimize user experience of our products.

Scenarios where SPSS are less appropriate: 1) Qualitative Data Analysis: I do not use SPSS for open-ended survey responses/qual data. 2) Live/in-vivo data analysis: SPSS is not ideal for real-time data processing. 3) Complex Data Integration: SPSS isn’t the best fit for complex data integration tasks

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