{"product_id":"win-loss-analysis-prompt","title":"Win-Loss Analysis Prompt","description":"\u003cdiv style=\"font-family: 'DM Sans', sans-serif; color: #1A1A18;\"\u003e\n\n  \u003cdiv style=\"background: #FEF0E0; border: 1px solid #F0D4A8; border-radius: 8px; padding: 16px 20px; margin-bottom: 20px;\"\u003e\n    \u003cp style=\"margin: 0; font-size: 12px; font-weight: 600; color: #8B4A00; letter-spacing: 0.06em; text-transform: uppercase;\"\u003eSales Prompts\u003c\/p\u003e\n    \u003cp style=\"margin: 6px 0 0; font-size: 13px; color: #555550; line-height: 1.5;\"\u003eTurn closed deals into a playbook change — not a polite summary of why you lost to the competitor.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cp style=\"font-size: 14px; color: #555550; line-height: 1.7; margin: 0 0 20px;\"\u003e\n    This win-loss analysis prompt produces structured analysis for single deals or deal batches — rep narrative, buyer narrative, data narrative, triangulated real deciding factor, cross-deal pattern analysis, competitive intelligence, and specific playbook changes with named owners. Paste into Claude, ChatGPT, or any AI chat, drop in the deal data and buyer quotes, and get a one-page analysis plus a 10-question buyer interview guide for post-close debriefs.\n  \u003c\/p\u003e\n\n  \u003cp style=\"font-size: 14px; color: #555550; line-height: 1.7; margin: 0 0 20px;\"\u003e\n    \"We lost to price\" is the polite version. \"We lost because our champion couldn't answer procurement's ROI question in the language finance expected — the competitor sent a one-page co-branded ROI calculator, we sent a 40-page proposal\" is the analysis. This prompt bans rep blame and product blame by rule, and refuses to call something a pattern until N ≥ 3. Works with Claude, ChatGPT, or any AI chat model.\n  \u003c\/p\u003e\n\n  \u003ch3 style=\"font-size: 13px; font-weight: 600; color: #1A1A18; margin: 0 0 10px; text-transform: uppercase; letter-spacing: 0.04em;\"\u003eWhat you get\u003c\/h3\u003e\n  \u003cul style=\"font-size: 13px; color: #555550; line-height: 1.9; padding-left: 18px; margin: 0 0 24px;\"\u003e\n    \u003cli\u003eOne production-ready win-loss analysis prompt (900+ words)\u003c\/li\u003e\n    \u003cli\u003eThree-narrative triangulation — rep version, buyer version, and data version — with the real deciding factor identified\u003c\/li\u003e\n    \u003cli\u003eCross-deal pattern analysis for quarterly batch reviews — N ≥ 3 required before calling anything a pattern\u003c\/li\u003e\n    \u003cli\u003eCompetitive intelligence extraction and specific playbook changes categorised by owner\u003c\/li\u003e\n    \u003cli\u003e10-question buyer interview guide for post-close debriefs by a neutral interviewer\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003ch3 style=\"font-size: 13px; font-weight: 600; color: #1A1A18; margin: 0 0 10px; text-transform: uppercase; letter-spacing: 0.04em;\"\u003eBuilt for\u003c\/h3\u003e\n  \u003cdiv style=\"display: flex; flex-wrap: wrap; gap: 8px; margin-bottom: 24px;\"\u003e\n    \u003cspan style=\"background: #FEF0E0; color: #8B4A00; border-radius: 20px; padding: 4px 12px; font-size: 11px; font-weight: 500;\"\u003eSales Managers\u003c\/span\u003e\n    \u003cspan style=\"background: #FEF0E0; color: #8B4A00; border-radius: 20px; padding: 4px 12px; font-size: 11px; font-weight: 500;\"\u003eRevenue Operations\u003c\/span\u003e\n    \u003cspan style=\"background: #FEF0E0; color: #8B4A00; border-radius: 20px; padding: 4px 12px; font-size: 11px; font-weight: 500;\"\u003eSales Enablement Teams\u003c\/span\u003e\n    \u003cspan style=\"background: #FEF0E0; color: #8B4A00; border-radius: 20px; padding: 4px 12px; font-size: 11px; font-weight: 500;\"\u003eCROs\u003c\/span\u003e\n    \u003cspan style=\"background: #FEF0E0; color: #8B4A00; border-radius: 20px; padding: 4px 12px; font-size: 11px; font-weight: 500;\"\u003eAccount Executives\u003c\/span\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv style=\"border-top: 1px solid #E8E6E0; padding-top: 16px;\"\u003e\n    \u003cp style=\"font-size: 11px; color: #BBBBAA; margin: 0; font-family: 'DM Mono', monospace;\"\u003ewin-loss-analysis-prompt.txt  ·  Works with Claude, ChatGPT \u0026amp; more  ·  Instant use\u003c\/p\u003e\n  \u003c\/div\u003e\n\n\u003c\/div\u003e","brand":"Kissmyskills","offers":[{"title":"Default Title","offer_id":57619901088008,"sku":null,"price":12.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1036\/1444\/7880\/files\/10_ai-win-loss-analysis-prompt.png?v=1776728196","url":"https:\/\/kissmyskills.com\/products\/win-loss-analysis-prompt","provider":"KissMySkills","version":"1.0","type":"link"}