…
). So we need to output HTML with those comments? Likely we need to include those block comments for each paragraph and heading. Use heading tags like…
. We need to embed the e-book promo paragraph at the end. We must count words between 450-500 inclusive. Let’s aim for ~470 words. We need to include the checklist facts from e-book. Use them to craft content. Let’s draft. First, title line: Title: Crafting the Client Narrative: How AI Generates a First Draft of Your Report Make sure includes AI and ai? It says include “AI” and “ai”. Title has AI uppercase and maybe we need lowercase “ai” somewhere else. Could include “ai” in body. Title: “Crafting the Client Narrative: How AI Generates a First Draft of Your Report” includes AI but not lowercase ai. We can add “ai” somewhere in title? Maybe “How AI (and ai) Generates”? But that seems odd. Better to include both in title: “Crafting the Client Narrative: How AI and ai Generate a First Draft of Your Report”. That includes both AI and ai. However “ai” as a word might be weird but acceptable. Could also include in body. Safer: include both in title: “Crafting the Client Narrative: How AI and ai Generate a First Draft of Your Report”. That includes “AI” and “ai”. Good. Now content. We need to use HTML paragraphs and headings with WP block comments. Structure:Title
but they said start with title as plain heading (e.g., “Title: …\n\n”), then HTML content. So we should not include heading for title; just plain line “Title: …” then blank line then HTML content. So we output: Then blank line. Then HTML content: start with maybe an introductory paragraph. We need to use the block comment syntax for each paragraph and heading. Let’s plan approximate word count. We’ll write about 12 paragraphs (~35-40 words each) => ~480. Let’s draft. Paragraph 1: intro about solo UX/UI designers needing speed. Paragraph 2: introduce AI agent concept, 25-minute no-code. Paragraph 3: checklist overview. Then we go through each checklist item as subheadings maybe. We need to include the facts: quotes representativeness, future recommendation, immediate recommendation, language, call to action, key stats, one-sentence headline, severity/frequency context, short-term recommendation, summary sentence, supporting evidence, theme title conversational, theme examples, top recommendation, supporting quotes, contextualizing with severity, future (severity 2-3, frequency 2-3). We’ll embed. Let’s write. We’ll need to count words. Let’s draft then count. I’ll write in a text editor mentally. Start after title line and blank line. Content:Solo UX/UI designers often juggle research, design, and client communication, leaving little time for lengthy report writing.
That’s 22 words? Let’s count: Solo(1) UX/UI(2) designers(3) often(4) juggle(5) research,(6) design,(7) and(8) client(9) communication,(10) leaving(11) little(12) time(13) for(14) lengthy(15) report(16) writing.(17) => 17 words. Ok. Paragraph 2:A 25‑minute no‑code AI agent can turn raw user‑testing transcripts into a polished first draft, letting you focus on insights rather than formatting.
Count: A1 25‑minute2 no‑code3 AI4 agent5 can6 turn7 raw8 user‑testing9 transcripts10 into11 a12 polished13 first14 draft,15 letting16 you17 focus18 on19 insights20 rather21 than22 formatting23. => 23 words. Paragraph 3:Use this checklist to verify that the AI‑generated draft meets professional standards before you send it to stakeholders.
Count: Use1 this2 checklist3 to4 verify5 that6 the7 AI‑generated8 draft9 meets10 professional11 standards12 before13 you14 send15 it16 to17 stakeholders18. => 18 words. Now we need headings for each checklist item maybe. We’ll create heading level 2 for each major item. Let’s list items: – Are quotes representative? AI sometimes picks a dramatic quote over a typical one. Swap in quotes that reflect the majority experience. – Future (Severity 2-3, Low Frequency): “Consider adding tooltips for advanced features.” – Immediate (Severity 4-5, High Frequency): “Add a one-click trust explanation before the SSN field.” – Is the language too academic? Replace “utilize” with “use.” Clients read quickly. – Is there a clear call to action? End with a “Next Steps” section that lists 2-3 concrete actions the product team can take immediately. – Key stats: “3 out of 5 participants rated this as critical (severity 4+), and it affected 78% of sessions.” – One-sentence headline: “Users are abandoning onboarding at step 3 because they don’t trust the security prompts.” – Severity & frequency context: “This theme had an average severity of 4.2 (high) and a frequency of 85% (near-universal).” – Short-term (Severity 3-4, Medium Frequency): “Test a simplified version of step 2 to reduce cognitive load.” – Summary sentence: “Users repeatedly expressed hesitation when asked for their SSN—even though the app is secure.” – Supporting evidence: 2–3 quotes from your transcripts. (Your AI can pull the most representative ones based on frequency.) – Theme title: Conversational, not academic. E.g., “Trust Fears Blocking Progress” instead of “Security Anxiety Findings.” – Theme: Account Linking Anxiety – Theme: Budget Goal Confusion – Top recommendation: “Simplify the security prompt to one checkbox and add a trust seal.” – 1-2 supporting quotes. – Contextualizes each finding with severity (Chapter 6) – Future (severity 2-3, frequency 2-3). We need to incorporate these facts. We’ll create sections for each maybe grouped. But we must stay within word limit. Let’s aim for about 12 sections each ~30 words => 360 plus intro ~60 => 420, plus closing promo ~30 => 450. Good. Let’s craft. We’ll do headings like:Check Quotes for Representativeness
Then paragraph. We’ll need to include the specific fact text. Let’s go. I’ll write all sections then count. I’ll write in a notebook style. — Start content after title blank line. 1. Intro paragraph (already done) 17 words. 2. AI agent paragraph 23 words. 3. Checklist intro paragraph 18 words. Running total: 58. Now sections. Section 1: Quote representativeness. Heading:Ensure Quotes Reflect the Majority Experience
Paragraph: The AI may favor a dramatic quote; replace it with one that mirrors what most participants said, keeping the narrative grounded in typical user behavior. Count words: The1 AI2 may3 favor4 a5 dramatic6 quote;7 replace8 it9 with10 one11 that12 mirrors13 what14 most15 participants16 said,17 keeping18 the19 narrative20 grounded21 in22 typical23 user24 behavior25. => 25 words. Total now: 58+25+ heading? Heading words not counted? We’ll count heading words too but they are inside HTML tags; but we should count visible words only. Usually word count counts text only, not markup. We’ll ignore heading markup. So just paragraph words. We’ll need to count heading words? Usually not. We’ll just approximate. Now Section 2: Future low frequency recommendation. Heading:Future‑Low‑Frequency Improvements
Paragraph: For issues rated severity 2‑3 with low occurrence, consider adding tooltips for advanced features to guide power users without cluttering the core flow. Count: For1 issues2 rated3 severity4 2‑35 with6 low7 occurrence,8 consider9 adding10 tooltips11 for12 advanced13 features14 to15 guide16 power17 users18 without19 cluttering20 the21 core22 flow23. => 23 words. Total: 58+25+23 =106. Section 3: Immediate high frequency recommendation. Heading:Immediate‑High‑Frequency Actions
Paragraph: For high‑severity, high‑frequency problems (4‑5), add a one‑click trust explanation before the SSN field to reduce abandonment and build confidence. Count: For1 high‑severity,2 high‑frequency3 problems4 (4‑5),5 add6 a7 one‑click8 trust9 explanation10 before11 the12 SSN13 field14 to15 reduce16 abandonment17 and18 build19 confidence20. => 20 words. Total: 106+20=126. Section 4: Language simplicity. Heading:Swap Academic Jargon for Plain Language
Paragraph: Replace words like “utilize” with “use.” Clients skim reports, so plain language speeds comprehension and keeps the focus on actionable insights. Count: Replace1 words2 like3 “utilize”4 with5 “use.”6 Clients7 skim8 reports,9 so10 plain11 language12 speeds13 comprehension14 and15 keeps16 the17 focus18 on19 actionable20 insights21. => 21 words. Total: 126+21=147. Section 5: Call to action. Heading:Add a Clear Next Steps Section
Paragraph: End the draft with a “Next Steps” block that lists two or three concrete actions the product team can implement immediately, turning findings into measurable tasks. Count: End1 the2 draft3 with4 a5 “Next6 Steps”7 block8 that9 lists10 two11 or12 three13 concrete14 actions15 the16 product17 team18 can19 implement20 immediately,21 turning22 findings23 into24 measurable25 tasks26. => 26 words. Total: 147+26=173. Section 6: Key stats. Heading:Highlight Key Statistics
Paragraph: Include a stat such as “3 out of 5 participants rated this as critical (severity 4+), and it affected 78% of sessions” to quantify impact and prioritize fixes. Count: Include1 a2 stat3 such4 as5 “36 out7 of8 59 participants10 rated11 this12 as13 critical14 (severity15 4+),16 and17 it18 affected19 78%20 of21 sessions”22 to23 quantify24 impact25 and26 prioritizeFor a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Solo UX/UI Designers: How to Automate User Testing Feedback Synthesis and Report Generation.