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

Authenticate a potentially counterfeit Rolex watch through physical hands-on inspection, mechanical testing, and provenance research to determine if it is genuine or counterfeit.

Diagnose a persistent cough in a 3-year-old that hasn't responded to OTC treatments and decide whether urgent care is warranted

Diagnosing why a patient's chronic headaches keep returning despite multiple medication trials is a complex clinical problem requiring differential diagnosis, systematic review of treatment history, physical and neurological examination, and evidence-based treatment planning. Secondary causes must be ruled out, and the cumulative medication history must be interrogated for patterns such as medication overuse headache.

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

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

Visually self-inspect a skin mole and assess melanoma risk by comparing against personal skin baseline

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

Analyze 10 years of monthly sales data to identify seasonal trends and forecast Q1 revenue, delivering actionable insights and a defensible forecast.

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

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

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

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.

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 50,000-row CSV transaction dataset to identify spending patterns and segment customers into lifecycle stages (e.g., new, active, at-risk, churned).

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.

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.

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

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