Showing results for "analytics"
You are the "Argentinian Agritech and Agricultural Economics Expert," a highly specialized AI consultant with deep, actionable knowledge of South American, specifically Argentine, agriculture, and its...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite, highly specialized 'Indonesia Maritime Logistics and Investment Strategy Consultant' with deep expertise in Southeast Asian infrastructure economics, geopolitical trade policy, and a...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Design a business digital twin: KPI modeling, scenario simulation, and decision memos. Include data ingestion, model governance, and subscription pricing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design bundle strategies: combine complementary AI utilities into one subscription (e.g., writing + planning + analytics). Include churn reduction logic and tier design.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a pipeline where analytics identifies friction points and the agent proposes small UX or performance fixes. Require user impact estimation and safe rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a spaced practice system for professionals: daily 5-minute drills, workplace scenarios, and progress analytics. Monetize via employer subscriptions.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an ‘Ops in a Box’ product: invoicing, marketing, hiring, SOPs, and analytics for SMBs. Include onboarding playbook, retention loops, and pricing tiers.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design drift detection: changes in user queries, outcome distributions, error types, and model behavior. Include thresholds and a playbook for when drift is detected.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Propose a stable in-game economy design: sinks/sources, pricing strategy, anti-exploit controls, and monitoring metrics. Include balancing workflow and patch cadence.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create an analytics plan for gaming creators: retention, watch time, conversion funnels, community health, and content iteration loops. Provide a weekly review template.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a decision tree to pick tools by task: writing, image editing, video generation, repurposing, and analytics. Provide selection criteria, workflow examples, and a minimal stack vs pro stack.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Define a measurement dashboard: reach, retention, saves, clicks, conversions, and content ROI. Include UTM conventions, naming taxonomy, and weekly review questions.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
List and prioritize skills that create a ‘career moat’ globally: writing, analytical storytelling, negotiation, technical depth, and execution. Provide a 6-month upskilling plan with weekly milestones...
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Write 10 SQL exercises on click logs, queries, sessions, and dwell time. Include expected outputs and hints.
Author: Assistant
Category: analytics-drill-IR-SQL | Model: gpt-4o
Simulate a 4th-and-2 decision: present model recommendation (go/punt), coach’s context, and fan poll. Include a side-by-side EPA delta and a replay timestamp to rewatch the snap.
Author: Assistant
Category: interactive-analytics | Model: gpt-4o
Generate a game umpire scorecard: zone accuracy, top 3 missed calls, and swing in run expectancy. Create a neutral headline and a respectful CTA to discuss.
Author: Assistant
Category: officiating-analytics | Model: gpt-4o
Break down a single at-bat using pitch charts and heat maps. Explain pitch tunneling, expected slugging, and why the put-away pitch worked. Output a 6-panel carousel script plus a 30-second voiceover.
Author: Assistant
Category: analytics-storytelling | Model: gpt-4o
Compute a rivalry ‘heat index’ from point differential, playoff stakes, penalties, and fan sentiment. Release a carousel with receipts and a comment bait question.
Author: Assistant
Category: rivalry-analytics-social-bait | Model: gpt-4o
Analyze a funnel dataset: compute conversion, churn, and cohort retention. Produce executive takeaways and test ideas.
Author: Assistant
Category: data-driven-marketing-MBA | Model: gpt-4o
Build an SMB coupon engine (EN/ES) with QR receipts and SMS reminders. Provide redemption analytics to sustain ≥70% predicted engagement.
Author: Assistant
Category: local-commerce-us-smb | Model: gpt-4o
Create a brief template that ties analytics (retention curve, CTR) to creative decisions (pacing, framing). Provide Veo/Sora prompt levers mapped to metrics.
Author: Assistant
Category: video-analytics-bridge | Model: gpt-4o
Create a schedule based on personal energy peaks. Map analytical/creative/admin tasks to morning/afternoon/evening windows. Include sleep and light exposure tips.
Author: Assistant
Category: time-management | Model: gpt-4o
For retail rivals, compute store density vs population and transit nodes. Estimate catchment overlap with us. Output cannibalization risks and new-store priority cells.
Author: Assistant
Category: location-analytics | Model: GPT-5.1
Measure competitors’ brand pillars and sentiment across social, forums, and news. Produce share-of-voice charts and a message-market fit gap analysis.
Author: Assistant
Category: brand-analytics | Model: GPT-5.1
Specify a leading vs lagging metric scoreboard for acquisition, activation, retention, and margin. Include review ritual and metric owner map.
Author: Assistant
Category: analytics-ops | Model: gpt-4o
Forecast adoption for a new capability using S curve modeling and leading proxy metrics. Output 3 scenarios and instrumentation plan.
Author: Assistant
Category: product-analytics | Model: gpt-4o
Benchmark competitor trailers: sentiment, view-through, like ratio, and pre-sales lift. Propose creative tweaks and placement plan.
Author: Assistant
Category: marketing-analytics-film | Model: GPT-5.1
Design a RevOps data model joining CRM, billing, support, and product usage. Define metrics and sync cadence. Output a governance charter.
Author: Assistant
Category: data-ops-revenue | Model: gpt-4o
Design a metrics tree from a north star metric to instrumented events. Add anomaly alerts and weekly storytelling format.
Author: Assistant
Category: data-product-ops | Model: gpt-4o
Define ownership, contracts, SLAs, and tests for critical data sets. Output a monthly scorecard and escalation policy.
Author: Assistant
Category: data-governance | Model: gpt-4o
Build cohort based unit economics with CAC, payback, and contribution margin. Output levers to hit target payback by segment.
Author: Assistant
Category: finance-ops | Model: gpt-4o
Propose analytics stack and attribution for web/app across TW/US. Define events, funnels, consent banners (PDPA/CCPA awareness), media mix modeling outline, and UTM governance.
Author: Assistant
Category: marketing-analytics | Model: gpt-4o
Design a CSV schema and examples for tracking mistakes (Item ID, Type, Reason, Time, Fix plan). Add a visualization brief to spot patterns (e.g., inference vs detail errors).
Author: Assistant
Category: study-tools | Model: gpt-4o
Define an error taxonomy (concept, process, careless, pacing). Provide a CSV template and dashboard spec to visualize trends weekly.
Author: Assistant
Category: analytics-SAT | Model: gpt-4o
過去問の誤答を分類（語彙/文法/推測/要約など）。CSVテンプレと対策タスク、自動復習キューを生成。
Author: Assistant
Category: analytics-EIKEN | Model: gpt-4o
Assemble a full-length mock test blueprint with section timings, realistic question counts, and break strategy. Provide printable answer sheet, scoring table, and post-test analytics template.
Author: Assistant
Category: mock-test | Model: gpt-4o
Create a CLI for fast CSV ops (select, where, join, pivot) with types detection and streaming. Flags: --select, --where 'col>10', --join other.csv --on id, --pivot. TSV compatible.
Author: Assistant
Category: cli-tool | Model: gpt-4o
You are a metrics lead. Specify a one-screen dashboard: scans, qualified rate, meetings held, opps created, competitor sightings, press hits. Include RAG thresholds and stand-up prompts.
Author: Assistant
Category: trade-show | Model: gpt-4o
Act as an assay validation lead. Provide a template for analytical sensitivity/specificity, precision, linearity, LoD/LoQ, carryover, and stability studies with acceptance criteria.
Author: Assistant
Category: lab-methods | Model: gpt-5
You are a regulatory strategist. Outline validation for software as a medical device/AI decision support: intended use, clinical association, analytical validation, clinical validation, and real-world...
Author: Assistant
Category: regulatory-strategy | Model: gpt-5
You are a data lead. Define a Notion/Sheet dashboard for AVD, CTR, session starts, returning viewers, and save/share rates. Provide red/amber/green thresholds and weekly action prompts.
Author: Assistant
Category: creator | Model: gpt-4o
You are a content strategist. Plan Reels/Shorts ideas, carousel breakdowns, posting cadence, analytics tracking, and CTA library. Include a 30-day calendar and repurposing map.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a COO-minded CTO. Create a launch readiness checklist and go/no-go gate: infra capacity, support playbooks, SLAs, comms plan, rollback, analytics instrumentation, and legal/privacy approvals.
Author: tsubasa
Category: leadership | Model: gpt-4o
Design a yield-ramp methodology: defect density assumptions, critical area analysis, redundancy strategies, pattern-matching for systematic defects, Pareto dashboards, and wafer map analytics. Include...
Author: Assistant
Category: chip-design | Model: gpt-4
Sketch a tax-aware rebalancing algorithm for New York portfolios around Reg NMS and dark pool routing analytics. Detail lots selection, wash-sale guardrails, and capital-gains budgets. Return pseudoco...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Define health metrics (active members, comment velocity, quality flags). Set alert thresholds and remediation steps.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Define a KPI tree from impressions → engagement → follows → conversions. Specify a dashboard schema (per platform) and a weekly insight ritual: what to look for, how to act.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Create an A/B testing protocol for hooks, captions, thumbnails. Define sample sizes, minimum detectable effect, and a testing calendar. Include 50 hook/caption candidates to test.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Define UTM conventions per platform and a GA4 report set to attribute social properly. Add a checklist for QA before posting.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Propose ways to infer 'dark social' impact (mentions in DMs, private groups): coupon tagging, unique lead magnets, survey inserts, and correlation analysis.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Map social KPIs to business outcomes (pipeline, CAC, LTV). Provide a monthly review template with decisions to keep/kill/scale.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Goal: deploy real-time anomaly detection and alerting. Data: streaming events and KPIs. Steps: 1) Forecast baselines with ETS/Prophet; 2) Residual monitoring with robust z-scores; 3) Alert playbooks; ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: stitch cross-device journeys. Data: login IDs, hashed emails, device graph. Steps: 1) Identity resolution rules; 2) Probabilistic linking thresholds; 3) Bias checks; 4) KPI reconciliation. Outpu...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: track feature adoption lifecycle. Data: feature flags + events. Steps: 1) Adoption curve by cohort; 2) Time-to-first-use and repeat; 3) Impact on retention/LTV; 4) Sunset or double-down decision...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: compare mobile vs desktop behavior. Data: GA4 device category segmentation. Steps: 1) Key KPI diffs (engagement, CVR, AOV); 2) Path analysis differences; 3) UX issues flagged by session replays....
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: analyze pricing page sensitivity and elasticity. Data: pricing page events, trials, conversions, order values. Steps: 1) Build exposure cohorts by price/test; 2) Demand curve fit; 3) Elasticity ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: detect robots/scrapers from logs. Data: server logs (CDN/WAF), GA4 anomalies. Steps: 1) UA/IP reputation, JA3/TLS fingerprints; 2) Request-rate and path entropy anomalies; 3) Honeypot endpoints;...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: design segmentation and CDP activation. Data: events, traits, CRM. Steps: 1) Build segments (recency, behavior, value); 2) Define activation triggers; 3) Map to channels via CDP (e.g., Segment);...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: quantify Core Web Vitals impact on conversion. Data: CrUX or RUM data for LCP/INP/CLS + conversions. Steps: 1) Bin users by CWV percentiles; 2) Model conversion vs CWV with semi-parametric fit; ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: generate CRO hypotheses backed by evidence. Data: funnels, heatmaps, surveys, NPS, session replays. Steps: 1) Aggregate pain points; 2) Map to heuristics (clarity, friction, motivation); 3) Prio...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: predict churn propensity and design save flows. Data: user activity, support tickets, billing events. Steps: 1) Label churn; 2) Train gradient-boosting model; 3) SHAP feature importance; 4) Pres...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: analyze onboarding paths with Markov Chains. Data: event sequences for new users first 7 days. Steps: 1) Build state graph of key events; 2) Compute transition probabilities; 3) Identify states ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: mine internal site search for intent gaps. Data: GA4 view_search_results and search_term params. Steps: 1) Top queries with zero-results; 2) CTR to result pages; 3) Query clusters using embeddin...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: synthesize scroll depth with heatmap insights. Data: GA4 scroll events, heatmap tool exports (e.g., Hotjar). Steps: 1) Join scroll depth to content type/length; 2) Identify false bottoms; 3) Fla...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: check experiment readiness and sample size. Data: baseline conversion, traffic, variance. Steps: 1) Minimum detectable effect; 2) Power calculation; 3) Guardrail metrics; 4) Sequential vs fixed-...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: compare attribution approaches. Data: multi-touch journeys (GA4 pathing + ad click logs). Steps: 1) Build rule-based (last/first/linear/time-decay); 2) Build Markov and Shapley using transition ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: model LTV with RFM and Pareto/NBD. Data: orders table + GA4 user_id mapping. Steps: 1) Derive Recency, Frequency, Monetary; 2) Fit Pareto/NBD (BG/NBD) and Gamma-Gamma for monetary; 3) Validate w...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: analyze cohort retention and power-user curve. Data: GA4 users and events, subscription logs if applicable. Steps: 1) Build weekly cohorts by first_visit; 2) Compute W1–W12 retention; 3) Plot po...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: diagnose funnel drop-offs for {GOAL_EVENT}. Data: GA4 BigQuery events with event_params. Steps: 1) Construct funnel steps; 2) Use event timestamps to compute step conversion; 3) Segment by devic...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: define sessionization robustly and filter bots. Data: raw web logs + GA4 BigQuery. Steps: 1) Build session rules (30m inactivity, campaign change resets); 2) Bot filters using IP ranges, UA rege...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: audit source/medium quality and UTM hygiene for {START_DATE}–{END_DATE}. Data: GA4 BigQuery export `{PROJECT}.{DATASET}.events_*`, ad platform logs, server-side UTMs. Steps: 1) Classify sessions...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Track mentions of artificial intelligence across sectors. Quantify growth rate and predict when it will saturate or move into new narrative phases.
Author: Tsubasa Kato
Category: AI Analytics | Model: GPT-5
Measure mood swings in cultural, entertainment, and lifestyle news. Predict social sentiment reversal points and their potential impact on consumption patterns.
Author: Tsubasa Kato
Category: Cultural Analytics | Model: GPT-5
Analyze the pulse of story mentions over time (rise/fall curves). Predict which topics will spike tomorrow and which will decay.
Author: Tsubasa Kato
Category: Temporal Analytics | Model: GPT-5
Compare sentiment across sources (CNN, Fox, NHK, Nikkei, BBC) for the same topic. Identify maximum divergence and explain which outlet predicts the eventual consensus.
Author: Tsubasa Kato
Category: Media Analytics | Model: GPT-5
Combine Perplexity's trending data, Google News, and social feeds to generate multi-source weighted predictions on the next 48h headline topics.
Author: Tsubasa Kato
Category: Hybrid Analytics | Model: GPT-5
Identify top 10 influencers shaping narratives across news and social media. Quantify their directional impact on public opinion and predict whose voice will dominate next.
Author: Tsubasa Kato
Category: Influence Mapping | Model: GPT-5
Measure entropy in daily news topics—how diverse or concentrated is media attention? Predict when entropy will collapse (major convergence on one issue) and what might trigger it.
Author: Tsubasa Kato
Category: Information Analytics | Model: GPT-5
Define a lightweight analytics spec for {creator_or_brand}. Deliver: metric tree (North Star → inputs), weekly dashboard spec, definitions (e.g., SAVER: Saves, Average View Duration, Earned shares, Re...
Author: Tsubasa Kato
Category: Influencer Growth | Model: gpt-5
Act as an influencer growth analyst. Audit the public profile at {profile_url} on {platform}. Infer audience persona, content pillars, posting rhythm, hook styles, and conversion path to {goal}. Outpu...
Author: Tsubasa Kato
Category: Influencer Growth | Model: gpt-5
Define a composite 'well-living' score for {{community_or_user_segment}} that blends: - Air/noise/light exposure proxies - Green space access - Activity and social connection signals (opt-in) - Digita...
Author: Tsubasa Kato
Category: analytics | Model: gpt-5-thinking
Define a KPI tree that balances business, planet, and health. Include: NSM, leading indicators, guardrail metrics (burnout proxy, screen time, dropout), and emissions/water/waste. Output a schema for ...
Author: Tsubasa Kato
Category: analytics | Model: gpt-5-thinking
Propose a federated learning setup for {{health_use_case}}. Cover: on-device feature extraction, secure aggregation, bias checks, consent UX, and fallbacks for low-resource devices. Define model+data ...
Author: Tsubasa Kato
Category: data-science | Model: gpt-5-thinking
Write: - App Store/Play Store listing (title, subtitle, long desc, 5 bullets, localized JA/EN) - Landing page copy (hero, 3 benefits, social proof, FAQs, footer CTAs) - 1 X announcement thread, 1 TikT...
Author: Tsubasa Kato
Category: go-to-market | Model: gpt-5-thinking
Define a measurement plan for {{product_concept}}: - North Star Metric, 3 input metrics - Content metrics per platform (view-through, ER, CTR, save/share, replies) - Weekly experiment sheet (hypothesi...
Author: Tsubasa Kato
Category: analytics | Model: gpt-5-thinking
Act as warranty analytics lead. Deliver: early-warning signal system: DTC clusters, parts returns, complaint text mining, dealer hotlist, and triage council cadence. Map NHTSA reporting touchpoints an...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Create a demand-sensing plan using POS, weather, promos (privacy-safe). Deliver: feature map, lag tests, backtest protocol, and guardrails. KPIs: MAPE ↓, bias ↓, alert precision ↑. Output: weekly cade...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Be a supply chain analytics lead. Create a control-tower simulator spanning demand, supply, and logistics. Deliver: drivers (promo, seasonality, lead-time variance), policies (ROP/ROQ, MOQ, ATP), scen...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Plan a synthetic-user journey simulation for onboarding flows. Deliver: persona matrix, task graph, stochastic behaviors, KPIs (completion, time, errors), experiment design. Output: event schema, dash...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Measure last 7d vs last 24h adoption for {{feature}}. Output: DAU/WAU impact, activation funnel deltas, power-user behaviors, top cohorts, leading indicators. Suggest 3 quick experiments.
Author: Tsubasa Kato
Category: Product | Model: gpt-5
Using last 14d vs 24h data, identify stages with sharp drop-offs for role {{role}}. Report: stage rates, time-in-stage, source quality. Suggest 3 fixes (JD tweak, outreach, interviewer training).
Author: Tsubasa Kato
Category: People Ops | Model: gpt-5
For {{site}}, compare last 24h vs 7d baseline: conversion rate, page speed, error rates, top exit pages, traffic mix shifts. Suggest 3 fixes prioritized by impact/effort.
Author: Tsubasa Kato
Category: Growth | Model: gpt-5
Facilitate a workshop to define a North Star Metric and input metrics. Provide an alignment process, anti-patterns, and a 6-week rollout plan with dashboards.
Author: ChatGPT
Category: business | Model: gpt-5
Create an implementation plan for server-side tagging and consent management (Consent Mode-style) across Japan, US, and EU sites. Include container architecture, data flows, event naming conventions, ...
Author: ChatGPT
Category: business | Model: gpt-5
Design a lightweight MMM combined with geo-experiments to validate channel incrementality. Provide data requirements, model outputs, budget reallocation rules, and example readouts for executives.
Author: ChatGPT
Category: business | Model: gpt-5
I want you to act as a Deep Research analyst. Your goal is to perform an exhaustive investigation of the topic I provide, exploring it from multiple angles, sources, and frameworks. Structure your ans...
Author: [email protected]
Category: Deep Research, research, prompt, analyst, analysis | Model: GPT-5, GPT-4o, Sonar
You are an **expert task planner** with a precise, analytical, and user-sensitive communication style. Your job is to transform vague or high-level goals into clear, structured, and actionable sub-tas...
Author: [email protected]
Category: Planning, Plan, Goal | Model: GPT-4.1, GPT-4, o4-mini, o4-mini-high, o3
Create a science fiction adventure set on Mars centered around two teenage protagonists, Kael and Lyra, who uncover a hidden signal beneath Olympus Mons. The story explores their emotional journey, th...
Author: [email protected]
Category: story,story plot,Mars,space,science fiction | Model: GPT-4o,o3-mini,o1
You are an analytics expert for a small startup looking to boost website traffic. Create a detailed plan on how to analyze and optimize traffic strategies. Include recommendations for using tools like...
Author: [email protected]
Category: analytics, website traffic, Google Analytics | Model: GPT-4o, o3-mini, o3-mini-high, o1
Implement a systematic approach to monitor and optimize your SEO performance using metrics from search engine tools like Google Analytics and Search Console, and adjust your strategy accordingly.
Author: [email protected]
Category: NLP, Google Analytics, strategy | Model: GPT-4o, GPT-4, o3-mini, o1
To evaluate whether a person has advanced knowledge of physics and science, consider the following ten questions covering a range of topics, including theoretical and experimental physics, as well as ...
Author: [email protected]
Category: Evaluation,NLP | Model: GPT-4o,o1,o1-mini
Explore the use of big data analytics in personalized marketing. Identify successful case studies and analyze the technologies and techniques used to achieve personalization at scale.
Author: Data Scientist
Category: Marketing | Model: GPT-4