我叫我嘅AI Strategy Agent Audit我哋嘅Landing Page。以下係發生咗咩
我將自己嘅landing page feed俾AI strategy agent，然後24小時內rebuild咗佢——透過dogfooding我正在賣嘅product，conversion messaging完全transform咗。
我盯住我哋嘅landing page analytics。過去幾日247個visitors。3個signup requests。1.2% conversion rate。
對一個零marketing budget嘅Private Alpha launch嚟講，唔算terrible。但都唔算great。
問題好明顯：visitors land到個page，scroll咗8秒，然後走。佢哋唔係self-identifying。佢哋喺copy入面睇唔到自己。佢哋喺理解我哋做咩或者我哋為邊個build之前就bounce咗。
我係solo founder有9個AI agents可以用。其中一個literally係Business Strategy Agent，apply 11個strategic frameworks——包括Jobs-to-be-Done——到business problems。
所以我做咗任何rational founder都會做嘅嘢：我叫STRAŦUM audit STRAŦUM自己嘅landing page。
第1日： **到晚上，revised landing page已經live喺production。Same-day turnaround。零external consultants。**只係我、Strategy Agent、同對outcome-focused copywriting嘅ruthless focus。
然後我又做咗一次。
第2日： 我嘅whitelist confirmation email係500字嘅information dump，有9個agents、3個categories、同零清晰嘅value path。我feed咗俾Strategy Agent。一個鐘內，我有一封revised email，有2步onboarding path同用我authentic voice嘅outcome-focused messaging。
呢個係dogfooding done right嘅故事——做咗兩次——同埋點解你product嘅第一個版本應該用嚟improve自己。
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問題：Visitors唔能夠Self-Identify
我哋嘅原始landing page跟住standard SaaS playbook：
1. Hero section：Big bold claim（「Marketing Execution Without Strategy Is Just Expensive Noise」）
2. Features：Progressive Learning、11 Frameworks、9 AI Agents
3. Demo video：15分鐘walkthrough
4. Comparison table：Us vs Execution-focused tools
5. Audience segmentation：For SMEs、For Agencies （buried喺第6個section）
Structure由product角度make sense——lead with problem、explain solution、differentiate、then segment。
但以下係我miss咗嘅： Users唔care你嘅unique technology直到佢哋知佢係for佢哋嘅。
一個manage 15個clients嘅agency owner land到個page。佢哋見到「Progressive Learning」同「11 Strategic Frameworks」。Great。但呢個對佢哋time-starved、client-juggling嘅workday意味住咩？
佢哋scroll。見到demo video。見到comparison table。到佢哋去到Section #6（「Built for Two Distinct Audiences」）見到「Scale Your Strategic Capacity, Not Your Headcount」嘅時候，佢哋已經決定咗呢個唔係for佢哋嘅。
Landing page唔差。佢只係order錯咗。
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Audit：用STRAŦUM嘅Strategy Agent Check我哋自己嘅Copy
我打開STRAŦUM嘅Business Strategy Agent，paste咗我哋成個landing page copy——全部7個sections，逐字逐句。
我嘅prompt：
> "Review the current landing page copy section by section. Using Jobs-to-be-Done principles and outcome-focused messaging, what improvements would make this landing page more compelling for our two target audiences (SMEs and Agencies)?"
Strategy Agent回咗4,200字嘅分析。以下係三個critical insights：
Insight #1：將「Built for Two Distinct Audiences」搬到Section #2
Strategy Agent嘅rationale：
> "By placing the audience segmentation section immediately after the Hero section, you allow users to self-identify and see their specific, outcome-focused benefits before they dive into the technical details of your product. The goal is to answer the user's most pressing question as quickly as possible: 'Is this product for me?'"
點解呢個重要：
- Original flow：Problem → General Solution → Technical Details → Specific Solution
- Revised flow：Problem → Specific Solution（for me） → Technical Proof → General Comparison
Agency owner而家scroll 2秒內就見到「Scale Your Strategic Capacity, Not Your Headcount」。佢哋即刻self-identify。剩返嘅page透過_佢哋_specific pain points嘅lens嚟讀。
ICE Score for呢個change： Impact（9/10）、Confidence（9/10）、Ease（8/10）= 6.48/10（Highest priority）
老實講，我第一次見到呢個suggestion嘅reaction係「well, obviously。」但嗰個就係重點——喺我build個page嘅時候唔係obvious嘅。我太deep in product入面，圍繞_我嘅_mental model organize所有嘢，唔係visitor嘅。有時你需要outside perspective（即使係AI嘅）嚟睇到就喺你面前嘅嘢。
Insight #2：由Features轉到Outcomes
Strategy Agent identify咗14個地方我哋focus喺_product做咩_而唔係_customer嘅生活點樣improve_。
例子 #1：SME Benefits
之前（Feature-Focused）
之後（Outcome-Focused）
「Zero-to-Hero in 5 minutes: Your first marketing win in your first session」
**「Clarity in 15 Minutes：**Get your first complete, data-backed strategy before your coffee gets cold」
點解佢更好：「Clarity in 15 Minutes」promise一個specific outcome（clarity）有time-bound result（15分鐘）。Emotional job被fulfill：confidence同relief from overwhelm。
例子 #2：Agency Benefits
之前（Feature-Focused）
之後（Outcome-Focused）
「Multi-tenant native: Complete data isolation between clients, team role management, secure access」
**「Client-Ready Strategies, Instantly：**Generate a full strategic blueprint for a new client in the time it takes to write an email」
點解佢更好：Agency owners唔會醒來諗「I need better data isolation。」佢哋醒來諗「I need to deliver a killer strategy for this new client by Friday。」Revised copy講_functional job_（deliver strategies fast）同_social job_（look like a strategic genius、justify premium fees）。
呢個有少少stung :P 做咗18年agency side，我真係應該知道嘅。我坐過無數pitch meetings入面lead with capabilities而唔係outcomes——而且我每次都睇住prospects嘅眼神glaze over。但我自己喺自己嘅landing page做緊exactly同一件事。Old habits吧。
Insight #3：喺Progressive Learning加Concrete Examples
我哋嘅「Day 1、Week 1、Ongoing」timeline解釋咗Progressive Learning 點 work，但冇show visceral benefit。
Strategy Agent嘅suggestion：
> "Week 1 revision: Add a concrete example. 'Tell the Persona Agent about your target customer's pain points, and the Content Agent automatically adjusts tone and messaging for all future outputs.'"
呢句做咗三件事：
1. Prove cross-agent intelligence sharing（唔淨止feature claim）
2. Show time savings（你唔使re-explain context俾每個agent）
3. Demonstrate system intelligence（唔只係keyword matching——係semantic understanding）
Lesson：Dogfooding揭示Analytics揭示唔到嘅嘢
有件關於build AI products嘅嘢：你可以obsess over latency、hallucination rates同token costs。但如果你嘅landing page唔convert，嗰啲technical excellence全部都唔matter。
用STRAŦUM嘅Strategy Agent audit我哋自己嘅landing page迫我面對三個uncomfortable truths：
Truth #1：我同Product太Close
我花咗75日build 9個AI agents。我知每個feature、每個technical decision、每個architectural pivot。但我lost sight of用戶嘅first impression。
Strategy Agent唔care我哋有83個Row Level Security policies或214個database migrations。佢care用戶嘅emotional job：對佢哋嘅marketing decisions感到confident而唔係overwhelmed。
Truth #2：Features唔賣——Outcomes先賣
「Multi-tenant native with complete data isolation」係feature。「Seamlessly manage strategy for all 15 clients」係outcome。
Strategy Agent嘅Jobs-to-be-Done analysis揭示咗14個地方我哋賣architecture而唔係benefit。Agency owners唔係hire STRAŦUM嚟get「data isolation」——佢哋hire佢嚟「scale strategic capacity without hiring another strategist。」
Truth #3：Structure比你想像嘅更重要
將「Built for Two Distinct Audiences」由section #6搬到section #2冇改一個字嘅copy。但佢fundamentally改變咗user journey：
- 之前： User讀4個sections general product info先self-identify
- 之後： User 2秒內self-identify，然後透過佢哋specific pain points嘅lens讀剩返嘅page
ICE Score： 呢個structural change有Strategy Agent所有recommendations入面最高嘅Impact（9/10）同Ease（8/10）。
第2日：Dogfooding Whitelist Confirmation Email
Landing page live喇。Users signup緊。但然後我睇吓我send俾whitelisted users嘅email。
佢...唔係好得。
問題：Information Overload，冇清晰Path
原本email：
- 500+字text
- 9個AI agents organize成3個categories（Foundation、Planning & Creation、Intelligence）
- Feature list：「Progressive Learning」「Multi-campaign management」「Brand Guidelines」
- Vague CTA：「Start with the Strategy agent」
- 冇清晰onboarding path
Email好comprehensive。但comprehensive唔等於effective。
我意識到： Users收到呢封email嘅時候_啱啱_被whitelist。佢哋excited，可能有少少skeptical。佢哋唔需要feature encyclopedia。佢哋需要知：「我first做咩？要幾耐？我會get咩value？」
Strategy Agent嘅Diagnosis
我feed咗成封email俾Strategy Agent：
> "This is my whitelist confirmation email. The goal is to drive immediate sign-up and guide the user to the first high-value action. Using Jobs-to-be-Done principles, how can I make this more compelling and action-oriented?"
Strategy Agent嘅回應（summarized）：
1. 太多steps - Original email有4個steps包括optional business profile filling。Value之前嘅friction。
2. Feature-focused唔係outcome-focused - 「9 AI Marketing Agents」唔answer「How does my life improve?」
3. Missing清晰time commitment - 幾耐先experience到value？
4. 冇teaser下一步係咩 - 第一個action之後，then what？
Strategy Agent嘅recommendation：
> "Create a clear 2-step path: (1) Sign up, (2) Run Strategy Audit. Remove the business profile step—users can discover that later. Lead with the outcome: 'Free AI Strategy Audit—a complete, data-backed strategic blueprint in your first session.'"
Revision：由Information Dump到Clear Path
Subject Line：
- 之前： "You're in - STRAŦUM Private Alpha Access"
- 之後： "You're In: STRAŦUM Private Alpha Access + Free Strategy Audit"
點解更好：包括brand name、強調exclusivity（Private Alpha）、promise value（Free Strategy Audit）。
Opening：
- 之前： Generic「You requested early access... here's what you're getting」
- 之後： Personal introduction有founder story同vulnerability
Revised email跟住同landing page同一個principle：將value proposition forward、移除不必要嘅friction。
Key Insight：移除Value之前嘅Friction
Strategy Agent喺landing page同email入面identify到同一個pattern：Users experience friction before they experience value。
Landing page： 要讀4個generic sections先喺Section #6 self-identify。
Email： 要complete business profile先get到Strategy Audit。
兩個case入面，fix都係structural：將value proposition forward。移除不必要steps。
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Meta-Lesson：你嘅Product應該Improve你嘅Product
48小時內兩次dogfooding sessions。同一個Strategy Agent。唔同outputs（landing page、email）。同一個underlying insight：移除value之前嘅friction。
呢個experiment之所以possible係因為我哋build STRAŦUM做strategic intelligence layer——唔只係content generator或chatbot。
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下一步：Test兩個Hypotheses
Revised landing page live喇。新whitelist email ready send。CTAs updated。Audience segmentation front-and-center。
而家等data：
Landing Page Metrics：
- Self-identification會唔會improve conversion rate from 1%？
- 「Get Free AI Strategy Audit」會唔會attract更高quality alpha users比generic「Request Early Access」？
- Outcome-focused copy會唔會resonate更好比feature copy？
Email Metrics：
- 2步onboarding path會唔會increase即時sign-ups？
- 移除business profile friction會唔會improve completion rates？
- Outcome-focused subject line會唔會improve open rates？
我會2個禮拜後report返有analytics。而家我可以話：
用STRAŦUM improve STRAŦUM——48小時內做咗兩次——係過去75日入面我花得最efficient嘅時間。
Landing page revision：1個鐘36分鐘。
Email revision：~30分鐘。
兩個deployed。兩個用Strategy Agent test過。兩個outcome-focused。
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P.S. 如果你係solo founder或small agency喺AI space build嘢：用你嘅product on你嘅product。唔係因為佢係cute meta-marketing，而係因為你會搵到bugs、UX issues同copy problems，冇幾多user interviews reveal到嘅。
Dogfooding唔係optional——佢係你嘅competitive advantage。
回望成個exercise，最令我impressed嘅係佢幾humbling。我花咗75日build 9個AI agents，而我自己嘅landing page犯緊同我coach clients做咗二十年嘅同樣mistakes：lead with features、bury value proposition、同assume visitors think like builders。我可能錯，但我覺得大部分solo founders都fall into呢個trap——我哋同自己build嘅嘢太close，忘記解釋_點解佢matter_俾第一次見到嘅人。
你有冇dogfood過你自己嘅product，然後被搵到嘅嘢surprise（或embarrass :D）？我好想聽。
祝好，
Chandler
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我build STRAŦUM係因為做咗18年agency side之後，我厭倦咗睇住marketing teams花更多時間喺execution而唔係thinking。呢個係strategy intelligence platform——9個AI agents、11個strategic frameworks、progressive learning——而且佢仲喺Private Alpha。如果你想睇Strategy Agent in action（同maybe get你自己landing page嘅免費audit），申請access：https://stratum.chandlernguyen.com/request-invitation
我亦喺build DIALØGUE——一個AI podcast generator，將任何topic或PDF變成完整episode。同一個build、用、improve自己tools嘅philosophy。
