AI Time Estimates for Research Tasks

Analyze a CSV file of 5000 customer support tickets to identify the top 10 recurring issues, incorporating sentiment analysis across each category

Research and summarize competitor pricing strategies for 12 project management tools, delivered as a structured comparative table covering pricing tiers, key features, and positioning.

Assess a shoulder mole for changes in appearance and estimate personal skin cancer risk level

Conduct an in-person sensory evaluation of three prototype sauces, providing detailed qualitative feedback on flavor balance, texture, mouthfeel, and aftertaste for a food product development team.

Conduct a qualitative UX research interview with a frustrated user, interpret non-verbal cues and body language, and surface the underlying pain point beneath their stated complaints through skilled probing and empathetic listening.

Physically test-drive three different electric vehicles and evaluate which best fits a family's real-world driving habits, range needs, charging setup, and lifestyle preferences.

In-person evaluation of an abstract sculpture to determine whether it has genuine artistic merit or is kitsch, requiring aesthetic judgment, art-historical knowledge, and direct physical examination at a gallery.

Analyze a 10,000-row CSV of customer transactions to surface spending patterns, seasonal trends, and high-value segments with actionable business insights.

Research and compile a comprehensive competitor analysis report on 8 direct competitors in the project management software space

Analyze a CSV file of 10,000 customer support tickets to identify and summarize the top 15 recurring issues with frequency counts

Assess a skin mole visually and by touch to determine whether it is melanoma or a benign lesion

Produce a detailed research synthesis document covering recent advances in transformer-based ML models, with citations to 15 or more academic papers, suitable for a technical audience.

Analyze 10,000 e-commerce transactions to identify spending patterns by customer segment and product category, producing actionable insights and visualizations.

Diagnosing recurring stomach pain in a child and deciding on specialist referral — a medical triage and decision-making task involving symptom tracking, differential considerations, and care navigation.

Analyze 10,000 subscription cancellation records to identify churn patterns and surface the top 5 reasons customers leave, including data processing, pattern recognition, and actionable insight generation.

Conduct a live user research interview with an off-script, difficult-to-manage participant, requiring real-time empathy, active listening, and adaptive questioning to keep the session productive.

Extract structured fields (company name, funding amount, industry, location) from 50 unstructured startup funding news articles into a structured dataset

Analyze a CSV dataset of e-commerce transaction logs to identify seasonal trends, top-performing products, and customer churn patterns

Build a detailed 5-day Barcelona travel itinerary covering restaurant picks, historical landmarks, transport logistics, and day-by-day scheduling.

Analyze sentiment and categorize top complaint themes across 200 Zendesk customer support tickets, producing actionable insight into what customers are frustrated about.