Open Research is a framework that contains documents that aid in the practice of product and customer research
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Updated
Jun 10, 2016
Open Research is a framework that contains documents that aid in the practice of product and customer research
外贸主动获客 Codex Skill:支持一句话找客户、产品图片找客户、客户线索质检、表格输出和批量个性化开发信。
An Obsidian vault for documenting startup experimentation.
Validate whether a demand is real before you build it — a Claude Code plugin: two evidence pillars, a 7-axis scorecard, an adversarial red-team, an answer-first report. Zero login. · 在动手之前验证「这个需求是不是真的」的 Claude Code 插件:双支柱证据 + 7 项评分卡 + 对抗红队 + 答案优先报告,零登录。
外贸客户开发与客户背调工作流 | Evidence-backed lead research and due diligence for foreign-trade and B2B export teams.
AI-powered customer interview analysis tool — semantic search, insight extraction, and research synthesis built for the Great Question stack.
Modular agent skills for Jobs-to-be-Done and Outcome-Driven Innovation research.
A structured system for founders who know they should be talking to customers but don't know where to start. Turn outreach from 'I should probably talk to people' into a repeatable workflow.
We are working for Company X as a Data Scientist. Company X has been commissioned by an insurance company to develop a tool to optimize their marketing efforts. Our objective is to determine which set of customers the marketing firm should contact to maximize profit.
AI-agnostic research skill for creating evidence-backed user personas with narratives, goals, concerns, and knowledge-tree justification.
Evidence-driven skills that turn customer signals into measurable growth.
This repository contains a comprehensive analysis of the Maven Marketing dataset, which includes customer demographics, purchasing behavior, and campaign response data. The project aims to uncover insights about Maven’s customer base, evaluate the performance of past marketing campaigns, and identify key drivers behind consumer engagement.
AI-agnostic research skill for mapping customer pain points to product value propositions and strategic messaging.
Turn a folder of raw customer evidence into a defensible, evidence-linked Opportunity Solution Tree — a Claude Code skill for product managers.
A market research case study analysing non-alcoholic beverage consumption patterns through consumer and retailer insights across Delhi.
Multi-agent customer-interview synthesis pipeline in n8n with LLM-as-judge eval, Slack human-in-the-loop approval, and drift monitoring.
Binary text categorization classifier which detects the presence of customer experience in a message. Trained with Twitter data. Tested with Twitter and Facebook data.
Identify conversion blockers and prioritize landing-page improvements with AI landing page analysis. A universal skill for Hermes, Claude Code, and OpenClaw that leverages simulated customer personas to find conversion optimization and CRO opportunities (provides synthetic hypotheses, not guaranteed lift).
Find Real Customer Pain Points From Reddit in Seconds
Hear the Customer — a customer-research skill for AI agents: plan studies, run interviews, synthesize evidence-backed reports (MIT)
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