Growth & Business Optimization Topics
Growth strategies, experimentation frameworks, and business optimization. Includes A/B testing, conversion optimization, and growth playbooks.
A/B Testing and Optimization Methodology
Discuss your experience designing and running A/B tests on content elements: headlines, formats, messaging, calls-to-action, visual design, content length, etc. Share specific examples of tests you've run with results and how you implemented learnings. Discuss statistical significance and proper experimental design. Show how you prioritize testing opportunities and build a testing roadmap.
SEO Problem Solving
Describe concrete, personal examples of significant search engine optimization problems you have handled. Cover the nature of the issue such as ranking or traffic drops after algorithm updates, large scale technical defects, site migrations, content underperformance, competitive threats, or findings from large audits. For each example explain your diagnostic process, data sources and metrics you used, hypotheses you generated, experiments or fixes you implemented, coordination with engineers or content teams, timeline and trade offs, and quantitative or qualitative results. Demonstrate your analytical framework for prioritization and root cause analysis, your use of SEO tools and analytics, and how you validated recovery or improvement.
Landing Page Optimization and User Experience
Covers best practices and decision making for designing and optimizing landing pages and on‑site experiences to maximize conversions. Topics include clear value proposition and messaging hierarchy, single focused calls to action, reducing friction in forms and flows, visual hierarchy and layout, mobile and responsive considerations, page speed and technical performance, trust signals such as testimonials and social proof, alignment of ad or campaign messaging with landing page content, collaborative workflows with design and copy teams, and practical methods for generating and prioritizing hypotheses to test. This also includes the user experience aspects of conversion optimization—how UX research, usability heuristics, and design psychology impact conversion outcomes—and how to evaluate landing pages qualitatively and quantitatively to identify improvement opportunities.
Funnel Analysis and Conversion Tracking
Product analytics practice focused on analyzing user journeys and measuring how well a product or website converts visitors into desired outcomes. Core skills include defining macro and micro conversions, mapping multi step user journeys, designing and instrumenting event level tracking, building and interpreting conversion funnels, calculating step by step conversion rates and drop off, and quantifying funnel leakage. Candidates should be able to segment funnels by cohort, acquisition source, channel, device, geography, or user persona; perform retention and cohort analysis; reason about time based attribution and multi path journeys; and estimate the impact of optimization levers. Practical competencies include implementing tracking, validating data quality, identifying common pitfalls such as missing events or incorrect attribution windows, and using split testing and iterative analysis to validate hypotheses. Candidates should also be able to diagnose root causes of drop off, create mental models of user behavior, run diagnostic analyses and experiments, and recommend prioritized interventions and product or experience changes with expected outcomes and measurement plans.