Research Methodology
Discover how Elasma integrates innovative research practices across product lifecycle stages to drive digital transformation.
1. Data-Driven Discovery
Our initial phase leverages AI-powered analytics tools to identify market trends, user behaviors, and competitive benchmarks. This creates a foundation of actionable insights that guide all subsequent development decisions.
2. Agile Validation
We implement continuous validation cycles through rapid prototyping and user testing. This allows us to iterate quickly based on real-world feedback while maintaining a consistent tech debt cleanup schedule.
3. Cross-Disciplinary Synthesis
Our research isn't limited to technical metrics. We combine cybersecurity threat modeling with UX psychology frameworks to create holistic solutions that are both secure and user-centric.
Our Research Ecosystem
Analytics & Modeling
Tableau + Python notebooks integrate with Snowflake and BigQuery to create dynamic data models that evolve with our research cycles.
Collaboration Stack
Miro boards synchronize with Jira to track research hypotheses and validate them through live user testing protocols.
Validation Systems
We use A/B testing frameworks and predictive modeling to quantitatively validate assumptions against real-world performance metrics.