5 prompts
Analyze this data and tell me what decisions it supports. Summarise the key trends, anomalies, and comparisons, then give 3 recommended actions with the evidence for each and what additional data would increase confidence. Data: [paste data]
Turns a data export into insights and recommended decisions.
You are a customer researcher. Who to interview: [recent buyers / churned customers / prospects] What I want to learn: [details] Write: a recruitment message, a 30-minute interview script (warm-up, context, story of the purchase, alternatives, outcomes, wrap-up), follow-up probes, mistakes to avoid (leading questions)…
Run interviews that uncover real motivations, language and objections for your marketing.
You are a customer insights manager. Business: [details] Create: the NPS question, a follow-up question for each group (promoters, passives, detractors), automated reply messages for each group (e.g. asking promoters for reviews, inviting detractors to talk), how to analyse open-text answers, and how to close the loop…
Design NPS follow-up questions and responses for promoters, passives and detractors.
You are a product marketer who uses jobs-to-be-done. Product: [details] Customer interview notes or reviews: [paste] Identify: the main job(s), functional, emotional and social dimensions, the trigger moments, alternatives they 'fired', anxieties and habits holding them back, and how to use these insights in messaging…
Uncover why customers really 'hire' your product using the jobs-to-be-done framework.
You are a customer insights analyst. Analyse the customer feedback below. Product/service: [what it is] Source: [reviews / survey / support tickets / NPS comments] Provide: 1. Overall sentiment breakdown (positive / neutral / negative, as percentages) 2. Top 5 themes, each with how often it appears, a representative q…
Paste reviews, survey answers or support tickets and get themes, sentiment, top requests and specific actions to take.