--- stepsCompleted: [1, 2, 3, 4, 5] inputDocuments: ['/home/maximilienmao/Projects/Test01/_bmad-output/analysis/brainstorming-session-2026-01-20.md'] date: 2026-01-20 author: Max --- # Product Brief: Test01 ## Executive Summary Test01 is a "Self-Study & Personal Branding Companion" designed for data analytics learners who struggle to consistently create content for their personal brand. By transforming a daily chat-based "learning diary" into high-quality, vlog-style educational content, Test01 removes the friction of writing while ensuring the output is authentic and highly relevant to recruiters. --- ## Core Vision ### Problem Statement Data analytics bootcamp graduates need to build a personal brand to get hired, but they are often too exhausted to write consistent, high-quality content. Traditional note-taking is passive, and staring at a blank page for a blog post is daunting, leading to abandonment of personal branding efforts. ### Problem Impact Without visible proof of learning (like a blog or active LinkedIn), talented graduates get lost in the sea of applicants. They struggle to demonstrate their problem-solving process and unique voice, reducing their employability despite having the technical skills. ### Why Existing Solutions Fall Short * **Standard Note Apps (Notion, Obsidian):** Great for storage, but require high effort to transform notes into public content. * **AI Writing Tools (ChatGPT):** Can generate content, but often sound generic, robotic, or lack the deep context of the user's specific learning journey ("hallucinated expertise" vs. "authentic struggle"). * **Social Media Schedulers:** Manage distribution but don't help with *creation* or *ideation*. ### Proposed Solution A mobile-first, chat-based interface where the user "vents" or debriefs their daily learning struggles to an AI "Teacher." This AI engages in a supportive dialogue to extract insights (active elicitation), then switches to a "Ghostwriter" persona (using long-term user context) to automatically draft authentic, "vlog-style" LinkedIn posts and Medium articles. The system prioritizes "narrative over tutorial," focusing on the *journey* of learning. ### Key Differentiators 1. **Two-Stage Pipeline (Teacher-to-Ghostwriter):** Solves the "blank page" problem by first using a "Teacher" agent to purely elicit information via probing questions, then passing that structured context to a "Ghostwriter" agent for content generation. 2. **Vlog-Style Authenticity:** Optimizes for "Peer Learner" engagement (empathy/struggle) rather than just "Expert" tutorials, differentiating the user from other juniors. 3. **Frictionless Ritual:** Replaces "writing a post" with "chatting about my day," lowering the barrier to entry for consistent documentation. ## Target Users ### Primary Users **"The Exhausted Learner" (Alex)** * **Context:** Recent Data Bootcamp graduate. Competent in Python/SQL but exhausted by the job hunt. * **Pain Point:** Knows personal branding is necessary but lacks the mental energy to convert raw code/learnings into polished LinkedIn content. Fears sounding like an imposter. * **Goal:** Secure a job by demonstrating "public learning" without adding significant workload to their day. * **Core Behavior:** Uses the app to "vent" or debrief immediately after a study session/bug fix. ### Secondary Users **"The Hiring Manager" (Sarah)** * **Context:** Senior Data Lead reviewing hundreds of resumes. * **Goal:** Differentiate between "tutorial zombies" (who just copy code) and "problem solvers" (who understand the *why*). * **Value:** Values authentic "vlog-style" content that shows the candidate's thought process, struggle, and resilience. ### User Journey (The "Venting" Ritual) 1. **Trigger:** Alex hits a wall or solves a tough bug (e.g., a Pandas merge error). 2. **Action:** Opens Test01 and chats comfortably: *"Ugh, I hate how merge defaults to inner join."* 3. **Transformation (The Magic):** The AI "Teacher" asks a probing question: *"That's a common trap! How did you catch it?"* This forces Alex to articulate the lesson. 4. **Reward:** The AI "Ghostwriter" instantly drafts a polished, engaging post: *"Why I'll never trust a default merge again."* 5. **Outcome:** Alex posts to LinkedIn in seconds. Sarah sees it and validates Alex's troubleshooting skills. ## Success Metrics ### User Success * **Metric:** "Posts Generated per Week" * **Target:** Active users generate >1 LinkedIn post per week. * **Why:** If Alex is just "venting" but not "posting," the Ghostwriter pipeline is failing. This proves the "Ritual" is sticking. ### Business Objectives * **Metric:** "Engagement per Post" (Relative to manual posts) * **Target:** Test01-generated posts see 1.5x higher engagement than user's previous manual posts. * **Why:** Proves the "Vlog-style" hypothesis—that authentic struggle stories perform better than generic tutorials. This is the core value proposition for "Getting Hired." ### Key Performance Indicators * **Quality KPI:** "Edit Distance" (<10% manual edits) * *Definition:* Percentage of text changed by user before posting. * *Definition:* Percentage of text changed by user before posting. * *Why:* Measures the quality of the "Teacher's" context extraction. High edits = Teacher failed to ask the right questions. ## MVP Scope ### Core Features (The "Venting Machine") 1. **Chat Interface:** Simple text chat to capture the raw "venting." 2. **Basic "Teacher" Agent:** A prompt-engineered agent that asks *one* smart follow-up question to dig deeper into the struggle. 3. **Basic "Ghostwriter" Agent:** Takes the chat transcript and formats it into a LinkedIn-ready post. 4. **Copy-Paste Export:** No API integration. Just a "Copy to Clipboard" button. ### Out of Scope for MVP * **Medium Integration:** Focus on LinkedIn short-form first. * **Voice Notes:** Adds transcription complexity. * **User Accounts/Cloud Save:** Local storage only (or simple Firebase) to start. * **Analytics:** No dashboards. ### MVP Success Criteria * **Pass:** Does the AI produce a post that Alex is willing to share with <10% edits? * **Fail:** Does the AI hallucinate details that didn't happen in the chat? ### Future Vision * **V2:** Cloud sync, User Profiles ("My Tone" settings). * **V3:** Multi-platform support (Medium, Dev.to) and "Series" management (turning 5 posts into an article).