Analysis & Research

Interpreting A/B test results gets messy fast. You juggle conversion rates, sample sizes, and edge cases. Then stakeholders ask, “So what should we do...

Making a high-stakes decision gets messy fast. Notes sit in docs, stakeholders disagree, and risks stay vague until launch week. A strong prompt force...

Sorting through hundreds of product reviews can drain your time and cloud your decisions. You might see patterns, but it’s hard to turn scattered comm...

Analyzing support tickets is slow when you don’t know where to start. You sift through scattered data, spot patterns late, and miss the insights that ...

Quarterly updates often feel overwhelming. You're juggling metrics, trends, and team input, yet you still need to deliver a clear, concise summary tha...

It’s tough to understand customer behavior when your data sits in different channels and formats. You see trends in one place that don’t match pattern...

It’s tough to analyze industry trends when your data comes from scattered reports, articles, and interviews. You try to make sense of patterns, spot e...

Pricing decisions feel risky when you’re guessing. You have survey data, sales history, and competitor prices—but translating that into a clear recomm...

Sifting through scattered customer feedback is slow and error-prone. You’ve got surveys, support tickets, reviews, and call notes—but no clear themes,...

Churn feels obvious until you try to explain why it’s happening. You’ve got dashboards, exit surveys, and tickets—but turning messy signals into a cle...

Estimating market size is hard. Data is scattered, definitions vary, and assumptions get messy fast. You need clear logic, reliable sources, and defen...

Competitive analysis is slow when you’re guessing what to compare and how to judge it. You skim websites, copy bullets into a spreadsheet, and end up ...