> ## Documentation Index > Fetch the complete documentation index at: https://docs.mavera.io/llms.txt > Use this file to discover all available pages before exploring further. # Product Feedback Focus Group Mirror > Search Reddit for product mentions, create subreddit-demographic personas, and run Focus Groups comparing synthetic vs real feedback ## Scenario Real product feedback exists on Reddit — buried in search results and comments. This job searches for mentions, creates Mavera personas mirroring the subreddit population (frustrated newcomer, power user, comparison shopper), then runs a Focus Group. Comparing real feedback to synthetic responses validates persona accuracy. ## Architecture ```mermaid theme={"dark"} flowchart LR A["Reddit GET /search?q={product}"] --> B["Extract archetypes"] B --> C["Mavera POST /personas"] C --> D["POST /focus-groups"] D --> E["Compare real vs synthetic"] ``` ## Code ```python Python theme={"dark"} import os, requests, time # --- Auth setup same as Job 1 --- PRODUCT = "Notion" # 1. Search Reddit for product mentions r = requests.get(f"{RD}/search", headers=RD_H, params={"q": PRODUCT, "sort": "relevance", "limit": 50, "type": "link", "raw_json": 1}) r.raise_for_status() results = [p["data"] for p in r.json()["data"]["children"]] real_feedback = [] for post in results: if post.get("selftext") or post.get("title"): real_feedback.append({"title": post["title"], "text": post.get("selftext","")[:600], "subreddit": post.get("subreddit",""), "score": post.get("score",0)}) if post.get("num_comments", 0) > 5: cr = requests.get(f"{RD}/comments/{post['id']}", headers=RD_H, params={"limit": 5, "depth": 1, "sort": "top", "raw_json": 1}) if cr.ok and len(cr.json()) > 1: for c in cr.json()[1]["data"]["children"]: body = c.get("data",{}).get("body","") if body and body not in ("[removed]","[deleted]"): real_feedback.append({"title": f"Re: {post['title']}", "text": body[:400], "subreddit": post.get("subreddit",""), "score": c["data"].get("score",0)}) time.sleep(0.7) # 2. Create subreddit-demographic personas PERSONAS = [ {"name": f"Frustrated {PRODUCT} Newcomer", "desc": f"New to {PRODUCT}, overwhelmed. Compares to simpler alternatives. Frustrated, seeks validation."}, {"name": f"{PRODUCT} Power User", "desc": f"Uses {PRODUCT} for everything. Builds templates. Enthusiastic, slightly defensive of the product."}, {"name": "Comparison Shopper", "desc": f"Evaluating {PRODUCT} vs Obsidian, Coda, Airtable. Analytical, price-sensitive, feature-focused."}, {"name": "Team Lead / Manager", "desc": f"Rolled out {PRODUCT} to a team. Cares about adoption friction, onboarding, per-seat pricing."}, ] persona_ids = [] for p in PERSONAS: created = requests.post(f"{MV_BASE}/personas", headers=MV_H, json={ "name": f"Reddit: {p['name']}", "description": p["desc"], "psychographic": {"source": "reddit_search", "product": PRODUCT}, }).json() persona_ids.append({"id": created["id"], "name": p["name"]}); time.sleep(0.3) # 3. Focus Group fg = requests.post(f"{MV_BASE}/focus-groups", headers=MV_H, json={ "name": f"Reddit Mirror: {PRODUCT} Feedback", "persona_ids": [p["id"] for p in persona_ids], "questions": [ f"What was your first impression of {PRODUCT}?", f"What is the biggest problem you have with {PRODUCT} right now?", f"If you switched away from {PRODUCT}, what would you switch to and why?", f"What one feature would you add to {PRODUCT}?", ], "responses_per_persona": 2, }).json() for _ in range(20): time.sleep(5) data = requests.get(f"{MV_BASE}/focus-groups/{fg['id']}", headers=MV_H).json() if data.get("status") == "completed": break for resp in data.get("responses", []): name = next((p["name"] for p in persona_ids if p["id"] == resp.get("persona_id")), "?") print(f"[{name}] Q: {resp.get('question','')[:80]}") print(f" A: {resp.get('answer','')[:300]}\n") print(f"\nREAL REDDIT (top 3 by score):") for fb in sorted(real_feedback, key=lambda x: -x["score"])[:3]: print(f"[/r/{fb['subreddit']}] (score: {fb['score']}) {fb['title'][:80]}") print(f" {fb['text'][:200]}\n") ``` ```javascript JavaScript theme={"dark"} // --- Auth setup same as Job 1 --- const PRODUCT = "Notion"; // 1. Search const results = (await (await fetch( `${RD}/search?q=${encodeURIComponent(PRODUCT)}&sort=relevance&limit=50&type=link&raw_json=1`, { headers: RD_H })).json()).data.children.map(p => p.data); const realFeedback = []; for (const post of results) { if (post.selftext || post.title) realFeedback.push({ title: post.title, text: (post.selftext||"").slice(0,600), subreddit: post.subreddit, score: post.score || 0 }); if ((post.num_comments||0) > 5) { const cr = await fetch(`${RD}/comments/${post.id}?limit=5&depth=1&sort=top&raw_json=1`, { headers: RD_H }); if (cr.ok) for (const c of ((await cr.json())[1]?.data?.children || [])) { const body = c.data?.body || ""; if (body && body !== "[removed]" && body !== "[deleted]") realFeedback.push({ title: `Re: ${post.title}`, text: body.slice(0,400), subreddit: post.subreddit, score: c.data?.score || 0 }); } await new Promise(r => setTimeout(r, 700)); } } // 2. Personas const PERSONAS = [ { name: `Frustrated ${PRODUCT} Newcomer`, desc: `New, overwhelmed. Compares to simpler alternatives.` }, { name: `${PRODUCT} Power User`, desc: `Uses for everything. Builds templates. Enthusiastic.` }, { name: "Comparison Shopper", desc: `Evaluating vs Obsidian, Coda, Airtable. Analytical.` }, { name: "Team Lead / Manager", desc: `Team rollout. Adoption friction, onboarding, pricing.` }, ]; const personaIds = []; for (const p of PERSONAS) { const created = await fetch(`${MV_BASE}/personas`, { method: "POST", headers: MV_H, body: JSON.stringify({ name: `Reddit: ${p.name}`, description: p.desc, psychographic: { source: "reddit_search", product: PRODUCT } }), }).then(r => r.json()); personaIds.push({ id: created.id, name: p.name }); await new Promise(r => setTimeout(r, 300)); } // 3. Focus Group const fg = await fetch(`${MV_BASE}/focus-groups`, { method: "POST", headers: MV_H, body: JSON.stringify({ name: `Reddit Mirror: ${PRODUCT}`, persona_ids: personaIds.map(p => p.id), questions: [`First impression of ${PRODUCT}?`, `Biggest problem with ${PRODUCT}?`, `If you switched, what to and why?`, `One feature to add?`], responses_per_persona: 2, }), }).then(r => r.json()); let data; for (let i = 0; i < 20; i++) { await new Promise(r => setTimeout(r, 5000)); data = await fetch(`${MV_BASE}/focus-groups/${fg.id}`, { headers: MV_H }).then(r => r.json()); if (data.status === "completed") break; } for (const resp of data.responses || []) { const name = personaIds.find(p => p.id === resp.persona_id)?.name || "?"; console.log(`[${name}] Q: ${(resp.question||"").slice(0,80)}`); console.log(` A: ${(resp.answer||"").slice(0,300)}\n`); } ``` ## Example Output ```text theme={"dark"} [Frustrated Notion Newcomer] Q: First impression of Notion? A: Overwhelming. Came from Apple Notes, got a blank page and a YouTube tutorial rabbit hole. Three hours later, still no functioning to-do list. [Comparison Shopper] Q: If you switched, what to and why? A: Obsidian for local-first. Coda for spreadsheet logic. Template ecosystem keeps me in Notion, but offline is a dealbreaker. REAL REDDIT (top by score): [/r/Notion] (847) "I love Notion but the mobile app makes me want to throw my phone" ``` ## Error Handling Add `restrict_sr=true` or use `sort=top&t=year` for higher-quality posts. Add `nsfw=false` and filter `over_18 === true` posts. ***