Anamap Blog

Rashmi Hegde, Staff Product Manager at Harness, shares how she combines product usage, customer conversations, and market signals to guide roadmap decisions and build measurement into product development.

Joel Rego, Product Manager at Cockroach Labs, shares how he uses customer signals and billing data to guide monetization decisions, build confidence in analysis, and turn evidence into action.

Rami Pinku shares how he uses product data, customer conversations, and support insights to guide decisions, clarify metrics, and measure customer value.

Brent Peterson shares his perspective on product decisions, AI, self-serve data access, and turning insights into repeatable action.

An experienced product manager shares how segmentation, qualitative research, trustworthy instrumentation, and healthy skepticism lead to better product decisions.

Randy Young, a forward-deployed product manager working on voice AI agents, shares how he approaches product decisions, measurement ambiguity, data access, and customer outcomes.

We tested 10 newer frontier models on whether they could determine if a GA4 demo dataset was real or synthetic. Gemini 3.5 Flash gave the best evidence-backed audit, Grok 4.3 was fastest, and GPT-5.5 was useful but expensive.

Audris Wong, an independent consultant at Snowpack Data and former product manager at The Browser Company, shares how she approaches product decisions, measurement confidence, data access, and turning product data into action.

AI analytics tools that don't show their data sources are a governance risk. Learn why AI observability, data citations, and audit trails are essential to prevent hallucinated metrics from reaching leadership decisions.

We tested 26 AI models across 58 runs on connected Google Analytics data. MiniMax M2.5 is still the best everyday analytics model, while Gemini 3.5 Flash was best for synthetic-data audits.

26 AI models tested across 3 rounds on real Google Analytics data. The most comprehensive real-world LLM analytics benchmark, updated with each new round. Find the right model for your analytics needs.

We tested 6 new AI models 3 times each on the same marketing attribution query. MiniMax M2.5 delivered excellent results at $0.06 total, outperforming Claude Opus 4.6 at $1.35. One model couldn't even start.

All 10 leading AI models achieved perfect API syntax. But when given intentionally broken GA4 data with 100% attribution failure, their analytical judgment varied dramatically. Here's the complete breakdown.

Discover practical steps to break into an analyst career, from picking the right role and building a standout resume to finding job leads and nailing the interview; no prior experience needed.

Is your business hitting all the key elements of becoming a data-driven organization? Focusing on strategic data use, self-service reporting, methodical testing, and bringing data to the table.

Should you ingest additional data on the front end or in the database? We'll explain the differences and what the strengths and weaknesses of each are.

Legacy KPIs and processes can seem benign enough by only reducing efficiency by 2% but enough of them can compound together to create huge inefficiency.

Setting up your data plan or tracking plan correctly out-of-the-gate is critical to your company's long term success with a customer data platform (CDP).

The core principles for getting the self-service analytics engine started are document, simplify, tool up, and train. Here are a few ways to get your business' stakeholders on the path to data driven decision-making.

It’s only natural to fall into the occasional pitfall or two. Hopefully, this list helps your company not fall into some common ones related to analytics.

Analytics is the way that we measure our businesses but if you don't know which measurements you have available it's hard to maximize your company's ability to drive positive change.