Negative Review & Return Diag
Paste reviews, diagnose page flaws in 10 min.
Description
Why we love this skill
This diagnostic accurately analyzes Taobao/Tmall negative reviews, pinpoints detail page issues, and provides prioritized modification suggestions—an essential tool for merchants to optimize product pages.
Negative reviews are piling up and returns won't come down, but you can't tell if the issue is in specifications, ingredients, or after-sales service? Paste your negative reviews and 'Ask Everyone' comments here, and in 10 minutes get a problem map: 9 categories of feedback → detail page gaps → P0/P1/P2 modification priorities. It does one thing—helps you see the problem clearly, without fabrication or hard selling. Want to know exactly how to fix it and what it will look like? After the diagnosis, directly connect to the flagship 'E-commerce Detail Page & Customer Script Optimization Tool' for fully consistent tone—no need to repaste materials.
Related Skills
View all
ResearchTao/Tmall Detail & CS Script Op
Diagnosed negative reviews and found the problems, then what? This Skill directly converts buyer negative reviews/return reasons into actionable solutions: 7-dimension page rating, title/main image/detail page FAQ restructuring, four types of CS scripts (pre-sale, objection handling, expectation management, post-sale), high-risk expression compliance replacement. The gap where the detail page says A but customer service says B is the root cause of negative reviews and returns — this locks both sides consistent. Honesty first: only make conservative judgments when materials are insufficient, never fabricate.
E-Commerce Thesis Check Guide
Stuck on your e-commerce undergraduate thesis? Does your current status section read like a company intro? Is your strategy section just the classic "strengthen promotion, improve service" four-piece set? Did you only realize two weeks before your defense that your title doesn't match your content? This skill is a revision workbench designed for e-commerce undergraduates. Its 13 commands help you check: whether the title is correct, whether the framework holds up, whether the paragraph arguments have loopholes, whether sentences are smooth, whether the same indicator has inconsistent definitions across chapters, why the defense teacher asks a certain question, and where follow-up questions might come from. In a word: AI won't write your thesis for you, but it helps you see where the problems are, how to fix them, and what to do next. What it cares about most: It will not fabricate data for you, will not write company facts for you, and will not write entire paragraphs of text for you. All revision suggestions leave a placeholder like 【Please replace with your real data】 so that you fill in with the authentic materials you collected yourself—so the thesis you submit is yours, not AI's. When checking sentence by sentence, each sentence's issues are categorized into two types: 【Structural issues】 that need content addition or rewriting, and 【Language issues】 that are suitable for polishing—so you won't use smooth wording to mask empty content, and you can clearly see which sentences are truly revised after editing. Coverage: mainstream e-commerce directions such as online marketing, store operations, short videos, live streaming sales, cross-border, private domains, agricultural product e-commerce, and more. From first draft self-check, chapter-by-chapter proofreading, version comparison to defense preparation, multiple rounds of follow-up. 【For advisors】 Teachers supervising e-commerce undergraduate theses can also use it this way: have students first run /check to diagnose the four layers of issues—framework, evidence, paragraphs, sentences—and then come for a meeting with the diagnostic report. This way, your grading time can focus more on judgment and direction rather than reading through everything to find problems. The /compare command can also directly compare the student's first draft and second draft to see if the revisions are adequate. Not suitable for: master's/doctoral theses, journal submissions, or non-e-commerce undergraduate theses. v2.2.1 early version. Feedback from students and advisors is welcome to help us make this revision workbench even smoother.
High-Ticket Sales Diagnostic
Have you encountered these situations? You've posted a lot of content, but clients don't take action after reading; You've spent half an hour on a free diagnostic, only to get a "I'll think about it"; You can clearly see the client's problem, but don't know how to ask questions, give solutions, or naturally move toward payment; You've talked a lot about your high-ticket product, but the other person still doesn't see the value. Tongtong's 30-Minute High-Ticket Content Lead Generation Diagnostic is designed specifically for those who want to generate leads through self-media, especially those selling high-ticket products. It turns an ordinary conversation into a professional diagnostic that is valuable, well-defined, and moves the sale forward. You only need to input the potential client's introduction, product, account, articles, and current issues. It will follow: Vision → Positioning → Product → Content → Platform Traffic → Private Domain Sales → Delivery Evidence to complete a systematic analysis and directly generate: ✦ The client's top 3 current sales blockers ✦ A minute-by-minute 30-minute diagnostic process with full scripts ✦ Coaching-style questions, follow-up questions, and mirroring ✦ Client differentiated advantages and high-ticket value extraction ✦ Content planning for lead generation, trust building, and closing ✦ Account types: WeChat Official Account, Xiaohongshu, Short Video, Private Domain division ✦ Methods to naturally transition from free diagnostic to paid coaching ✦ Common objection responses and post-meeting follow-up copy ✦ Judgment on whether the client is really suitable to purchase coaching Don't turn your free diagnostic into a useless Q&A session. Let the client see their problem clearly within 30 minutes, feel your expertise, and understand why they need a more complete paid solution.
Negative Review & Return Diag
Paste reviews, diagnose page flaws in 10 min.
Description
Why we love this skill
This diagnostic accurately analyzes Taobao/Tmall negative reviews, pinpoints detail page issues, and provides prioritized modification suggestions—an essential tool for merchants to optimize product pages.
Negative reviews are piling up and returns won't come down, but you can't tell if the issue is in specifications, ingredients, or after-sales service? Paste your negative reviews and 'Ask Everyone' comments here, and in 10 minutes get a problem map: 9 categories of feedback → detail page gaps → P0/P1/P2 modification priorities. It does one thing—helps you see the problem clearly, without fabrication or hard selling. Want to know exactly how to fix it and what it will look like? After the diagnosis, directly connect to the flagship 'E-commerce Detail Page & Customer Script Optimization Tool' for fully consistent tone—no need to repaste materials.
Related Skills
View allResearchTao/Tmall Detail & CS Script Op
Diagnosed negative reviews and found the problems, then what? This Skill directly converts buyer negative reviews/return reasons into actionable solutions: 7-dimension page rating, title/main image/detail page FAQ restructuring, four types of CS scripts (pre-sale, objection handling, expectation management, post-sale), high-risk expression compliance replacement. The gap where the detail page says A but customer service says B is the root cause of negative reviews and returns — this locks both sides consistent. Honesty first: only make conservative judgments when materials are insufficient, never fabricate.
E-Commerce Thesis Check Guide
Stuck on your e-commerce undergraduate thesis? Does your current status section read like a company intro? Is your strategy section just the classic "strengthen promotion, improve service" four-piece set? Did you only realize two weeks before your defense that your title doesn't match your content? This skill is a revision workbench designed for e-commerce undergraduates. Its 13 commands help you check: whether the title is correct, whether the framework holds up, whether the paragraph arguments have loopholes, whether sentences are smooth, whether the same indicator has inconsistent definitions across chapters, why the defense teacher asks a certain question, and where follow-up questions might come from. In a word: AI won't write your thesis for you, but it helps you see where the problems are, how to fix them, and what to do next. What it cares about most: It will not fabricate data for you, will not write company facts for you, and will not write entire paragraphs of text for you. All revision suggestions leave a placeholder like 【Please replace with your real data】 so that you fill in with the authentic materials you collected yourself—so the thesis you submit is yours, not AI's. When checking sentence by sentence, each sentence's issues are categorized into two types: 【Structural issues】 that need content addition or rewriting, and 【Language issues】 that are suitable for polishing—so you won't use smooth wording to mask empty content, and you can clearly see which sentences are truly revised after editing. Coverage: mainstream e-commerce directions such as online marketing, store operations, short videos, live streaming sales, cross-border, private domains, agricultural product e-commerce, and more. From first draft self-check, chapter-by-chapter proofreading, version comparison to defense preparation, multiple rounds of follow-up. 【For advisors】 Teachers supervising e-commerce undergraduate theses can also use it this way: have students first run /check to diagnose the four layers of issues—framework, evidence, paragraphs, sentences—and then come for a meeting with the diagnostic report. This way, your grading time can focus more on judgment and direction rather than reading through everything to find problems. The /compare command can also directly compare the student's first draft and second draft to see if the revisions are adequate. Not suitable for: master's/doctoral theses, journal submissions, or non-e-commerce undergraduate theses. v2.2.1 early version. Feedback from students and advisors is welcome to help us make this revision workbench even smoother.
High-Ticket Sales Diagnostic
Have you encountered these situations? You've posted a lot of content, but clients don't take action after reading; You've spent half an hour on a free diagnostic, only to get a "I'll think about it"; You can clearly see the client's problem, but don't know how to ask questions, give solutions, or naturally move toward payment; You've talked a lot about your high-ticket product, but the other person still doesn't see the value. Tongtong's 30-Minute High-Ticket Content Lead Generation Diagnostic is designed specifically for those who want to generate leads through self-media, especially those selling high-ticket products. It turns an ordinary conversation into a professional diagnostic that is valuable, well-defined, and moves the sale forward. You only need to input the potential client's introduction, product, account, articles, and current issues. It will follow: Vision → Positioning → Product → Content → Platform Traffic → Private Domain Sales → Delivery Evidence to complete a systematic analysis and directly generate: ✦ The client's top 3 current sales blockers ✦ A minute-by-minute 30-minute diagnostic process with full scripts ✦ Coaching-style questions, follow-up questions, and mirroring ✦ Client differentiated advantages and high-ticket value extraction ✦ Content planning for lead generation, trust building, and closing ✦ Account types: WeChat Official Account, Xiaohongshu, Short Video, Private Domain division ✦ Methods to naturally transition from free diagnostic to paid coaching ✦ Common objection responses and post-meeting follow-up copy ✦ Judgment on whether the client is really suitable to purchase coaching Don't turn your free diagnostic into a useless Q&A session. Let the client see their problem clearly within 30 minutes, feel your expertise, and understand why they need a more complete paid solution.
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