moomoo Japan · 2026 BP · Insights Hub

What 547 Survey Respondents and 33 Interviews Told Us

A consolidated view of the moomoo Japan 2026 Business Plan workstream — customer personas, survey findings, opportunity map, strategic decisions, and UX priorities. Read the page; drill into source documents only when you need verbatim evidence.

"把每一个海外市场都做深、做透,把产品和服务持续打磨得更好" — Go deep on each overseas market and continuously polish the product.
547Survey responses
42Survey questions
33Interviews
5Customer segments
5Opportunity areas
43.7%Want US options
5+17P0 issues + design details
1

The Five Customer Personas

From 33 interviews · Voice-of-Customer synthesis

Five segments emerged from 33 JP investor interviews (Apr 13–28, 2026). Each persona is calibrated against v6 feasibility — we play to win on three, defend one, concede one.

S1
Segment S1
Kenta · 35
Cross-Border Active Trader
AUM¥3M – ¥30M
FrequencyDaily / weekly
Brokersmoomoo + SBI
Asset mixJP + US equity
"I want one app that handles JP and US seamlessly. Switching between SBI and moomoo every day kills my flow."

Top wishlist

  • Real-time data + low US-stock fees
  • JP-stock parity with SBI (信用, IPO)
  • AI summary localized to JP context

Top pain

  • Sub-account isolation unclear
  • JP-stock feature gaps
  • Color convention reversed
Win zone — primary broker target
S2
Segment S2
Hiroshi · 52
High-AUM Cross-Border Migrator
AUM¥30M – ¥500M
FrequencyWeekly
BrokersIBKR → moomoo
Asset mixUS-heavy + bonds
"IBKR is powerful but the UX is from 2005. I want institutional-grade tools with consumer-grade polish — and tax handling that doesn't keep me up at night."

Top wishlist

  • Tax-handling clarity (特定口座 + 米国源泉)
  • Idle-cash MMF (USD primary)
  • JP customer support, JP-bank wire transparency

Top pain

  • Foreign-firm trust anxiety
  • Fund-transfer friction
  • FSA registration not visible enough
Win zone — high LTV, high-touch onboarding
S3
Segment S3
Yuki · 38
Power-User · Derivatives & Algo
AUM¥10M – ¥100M
FrequencyMultiple/day
Brokersmoomoo + IG + IBKR
Asset mixOptions, FX, futures
"If your platform doesn't have OCO/IFD-OCO and a real options chain, I'm not even going to install the app."

Top wishlist

  • Full-line US options + Nikkei options
  • API trading + conditional orders
  • Tight USD/JPY spread (≤0.3 pip)

Top pain

  • Tool depth gaps in JP brokers
  • API rate limits
  • IV / Greeks data quality
Win zone — small in count, high revenue/user
S4
Segment S4
Akiko · 58
Time-Rich Mass-Market Returner
AUM¥1M – ¥10M
FrequencyFew/month
BrokersSBI/Rakuten (NISA)
Asset mixMutual funds, JP equity
"I missed the SBI NISA window. There's so much information online — where do I even start with US stocks?"

Top wishlist

  • Demo / 少額 trial flow
  • JP-language education content
  • NISA migration / carry-over guidance

Top pain

  • Information overload
  • Jargon (英語 + 専門用語)
  • Doesn't trust foreign-firm brand
Defend zone — NISA-window education funnel
S5
Segment S5
Takeshi · 47
Ecosystem-Locked Mass Retail
AUM¥500K – ¥10M
FrequencyMonthly
BrokersSBI or Rakuten only
Asset mixJP equity, NISA fund
"My salary, credit card, banking, and stocks are all in Rakuten. Why would I split? The points alone keep me here."

Top wishlist

  • (Not actively shopping for a new broker)
  • Points / credit-card integration
  • JP-bank instant transfer

Top pain

  • Switching cost > switching benefit
  • Foreign-firm anxiety amplified
Concede zone — structurally locked; let referral handle
2

Survey Highlights · N=547

In-app survey · 42 questions · 7 segment dimensions

Quantitative validation of the qualitative signal. Charts below are the most decision-relevant; the full set lives in the survey-summary doc.

~70%
Hold JP equity
Largest single asset class
~50%
Hold US equity
Cross-border demand is real
<10%
Trade options/futures
Small base, high revenue/user
2–3
Brokers per user (median)
Multi-broker is the norm
<30%
moomoo share-of-wallet
Long tail — primary broker rare
≤0.3 pip
USD/JPY spread bar
Table-stakes for FX users
Q9 most important feature
Q9 — Most important feature when choosing a broker
Real-time data & charts and seamless JP/US trading lead. AI agent / autopilot ranks low — users want decision support, not automation.
Q10 products of interest
Q10 — Products of interest, not yet traded
US options + index options + futures top the latent-demand list. The cross-sell pool for derivatives education is large.
Q12 AI demand
Q12 — AI features users want
AI summary > strategy proposal > order assistant. Autopilot ranks lowest — confirms "decision support, not automation" thesis.
Q17 trust drivers
Q17 — Most trust-building fact
FSA registration > parent NASDAQ listing > global user count. Mass-market signals (29M users, HK/SG #1) underperform in JP — lead with regulator + parent listing.
Q11 USP attractiveness
Q11 — moomoo USP attractiveness
No-FX-conversion (trade JP/US in-currency), unified buying power, and AI agent rank highest. Validates the cross-border + AI strategic core.
Q15 transfer concerns
Q15 — Concerns about transferring funds to moomoo
Top concern: ecosystem gap vs. SBI/Rakuten (points/banking). Tax handling and platform stability are second-tier. Trust scaffolding directly addresses 4 of the top 5.
Q5 other brokers
Q5 — Other brokers used
SBI + Rakuten dominate the multi-broker landscape — the structural moat. Monex/Matsui/IBKR form the niche/power-user fringe where moomoo competes most directly.
Q19 NPS
Q19 — Net Promoter Score
Detractor-heavy on the JP-equity side; promoter-heavy on US-stock and AI features. Closing the 5 P0 UX issues is the fastest path to lift NPS.

Top 5 cross-segment surprises

  1. Mass-market trust signals underperform. "29M global users" and "HK/SG #1" rank below FSA registration and parent-NASDAQ listing for JP users — flip the trust messaging hierarchy.
  2. Autopilot AI ranks last. Users want AI to summarize and propose, not to execute autonomously — designs that emphasize automation will fail.
  3. Long-tail share-of-wallet. Even active moomoo users keep most assets elsewhere; "primary broker" status is rare and worth fighting for.
  4. Color convention & sub-account isolation are P0. Surface UX issues outrank "more features" in the verbatim feedback — localization debt has compounded.
  5. US-options awareness gap is huge. Q10b shows broad latent interest paired with low awareness — education-led funnel is the unlock, not promotion-led.
3

Product Holdings & Cross-Sell Map

Q4 / Q10 / Q4i / Q4j · co-holding + conditional ownership

What users actually trade today, which products move together, and where the strongest unmet-interest pools sit. Survey base N=547; product co-holding gives the structural cross-sell signal.

72.6%
hold US cash equity
Top product — moomoo's center of gravity
47.0%
hold both JP + US cash
The dominant co-holding pair
43.7%
interested in US options
Largest cross-sell pool (Q10)
60.6%
blocked by "don't understand"
Q4j — education = the unlock

What users currently trade (Q4)

% of N=547 holding each product, outside NISA
US equity (cash)
72.6%
JP equity (cash)
64.4%
US-listed ETF
37.7%
投信 / mutual funds
28.9%
Gold-related
27.8%
JP-listed ETF
26.0%
Crypto / Web3
19.6%
JP margin (信用)
15.2%
Bonds
11.3%
US options
11.2%
FX / CFD
9.1%
Event contracts
0.5%
US-equity is the floor; mutual funds, gold, and JP-ETF cluster at ~26–29% as the secondary belt. Options, FX, and event contracts are sub-12% — the cross-sell frontier.

Strongest co-holding pairs

% of all users holding BOTH products (top 10)
#Product AProduct BCo-hold
1JP equity (cash)US equity (cash)47.0%
2US-listed ETFUS equity (cash)31.8%
3JP equity (cash)US-listed ETF23.6%
4JP equity (cash)投信23.4%
5US equity (cash)Gold-related23.4%
6JP equity (cash)JP-listed ETF22.5%
7投信US equity (cash)21.2%
8JP equity (cash)Gold-related20.7%
9JP-listed ETFUS equity (cash)20.3%
10US equity (cash)Crypto / Web316.1%
JP↔US is the structural anchor. US-cash also pulls ETFs, Gold, and Crypto — making US-stock holders the natural cross-sell launch surface.

Conditional cross-sell signals

Given a user already holds the anchor product, what's the chance they also hold each adjacent product? The four anchors below are the strongest pull-throughs.

If user holds US equity (cash)
Anchor base: 72.6% of all users
  • JP cash 64.7%
  • US-listed ETF 43.8%
  • Gold-related 32.2%
  • Crypto / Web3 22.2%
  • JP margin (信用) 15.1%
  • US options 13.1%
If user holds US options
Anchor base: 11.2% — small but high LTV
  • US cash 85.2%
  • JP cash 54.1%
  • US-listed ETF 45.9%
  • Gold-related 45.9%
  • Crypto / Web3 29.5%
  • JP margin (信用) 27.9%
If user holds JP margin (信用)
Anchor base: 15.2% — disproportionate revenue
  • JP cash 86.7%
  • US cash 72.3%
  • JP-listed ETF 49.4%
  • US-listed ETF 42.2%
  • Gold-related 39.8%
  • 投信 41.0%
If user holds Crypto / Web3
Anchor base: 19.6% — most-diversified cohort
  • US cash 82.2%
  • JP cash 79.4%
  • Gold-related 55.1%
  • US-listed ETF 50.5%
  • 投信 50.5%
  • JP margin (信用) 19.6%

Cross-sell pool — interested but NOT yet trading (Q10)

% of users naming each product as "want to try"
US options
43.7%
JP options
30.9%
US margin
24.1%
Crypto / Web3
19.0%
Index options
18.8%
Futures
16.3%
FX
14.1%
JP PTS
12.6%
CFD (non-FX)
10.4%
Event contracts
4.8%
US options is the single biggest unmet-interest pool — 43.7% want it, only 11.2% have it. ~32pp of latent demand.

Why they're not trading it yet

Q4j — Reasons for NOT trading US options
Don't understand options
60.6%
Too risky
23.5%
Lack of funds
20.7%
Tax-handling concern
17.3%
Q4i — Reasons for NOT trading US equity (for the 27% who don't)
Don't know US companies
41.1%
Prefer JP equity
27.2%
Lack of funds
20.9%
FX-risk concern
19.6%
Don't know how
16.5%
Both blockers are information / education gaps, not pricing or UX. Curated discovery + AI-summarized company info + simulator-driven options education are the highest-ROI moves.

Cross-sell takeaways

  1. US-equity holders are the cross-sell anchor. 72.6% of the base hold them, and they pull JP cash (64.7%), US ETFs (43.8%), Gold (32.2%), and Crypto (22.2%) along. Every cross-sell campaign should launch from the US-stock cohort first.
  2. US options is the single highest-ROI cross-sell. 43.7% want to try, only 11.2% currently hold — a ~32pp latent pool. 60.6% are blocked by "don't understand options," not by fees or risk. Education-led funnel (simulator + 5-video series + AI strategy reviewer) is the unlock.
  3. Margin users (15.2%) are "everything users." JP-margin holders co-hold US cash 72.3%, US ETF 42.2%, Gold 39.8% — small in count, disproportionate in revenue. The Risk Cockpit (margin simulator + AI alerts) is the right magnet here, not more options education.
  4. Crypto holders are the most diversified cohort. They co-hold US cash 82.2%, JP cash 79.4%, Gold 55.1%, ETFs 50.5%, 投信 50.5% — already touching 5+ asset classes. Multi-asset AI screener and unified buying-power messaging should target them first.
  5. Event contracts and CFD are dominated by awareness gap, not interest gap. 71.8% have never heard of event contracts; 45.5% don't know CFD. These are not failed products — they're un-introduced ones. Test with awareness-first content before deciding feasibility.
4

Opportunity Map (v6 · feasibility-audited)

5 areas + cross-cut layer · ✅ ⚠️ ❌ tagged

Each direction in v6 carries an explicit feasibility tag. ✅ ship · ⚠️ partner-dependent · ❌ regulatory or structural blocker.

1

JP-Stock Product Depth

Defensive baseline. Reach must-have parity with SBI/Rakuten to defuse the structural lock-in moat.

✅ 信用 expansion ✅ IPO/PO pipeline ⚠️ 投信 (partner) ❌ Open Banking pull
2

US-Stock Wedge Defense

Highest-conviction wedge. Where moomoo already wins — double down before peers catch up.

✅ 24h US trading ✅ Pre/after-hours ✅ AI summary ✅ Low FX conversion ⚠️ Tax-handling clarity
3

Cash & Multi-Currency UX

High-AUM (S2) magnet. Pairs with US-stock wedge — turns idle cash into yield without leaving the platform.

✅ Idle-cash MMF (USD) ✅ Unified buying power ⚠️ JPY-side yield
4

FX TradingView Wedge

Defensive against GMO/DMM. Low-cost adjacency, not standalone strategy.

✅ TradingView embed ✅ ≤0.3 pip USD/JPY ✅ FX/CFD widget
5

Futures / Nikkei Options

S3 magnet. Education-led launch, not promotion-led, given complexity.

✅ N225 options ⚠️ Futures (license)
+

Cross-Cut Layer

Channel: KOL (X / YouTube) for S1/S3 · high-touch for S2 · NISA content for S4.
Trust: FSA badge UX, JP-bank wire transparency, 24/7 JP CS, 2FA visible.
Conversion: low first-deposit, demo trial, friend referral.

Items DROPPED for feasibility

  • Full Open-Banking parity — no PSD2-equivalent regulation in JP; SBI/Rakuten use private intra-group rails (Money Bridge / SBIハイブリッド預金) we cannot replicate without owning a JP bank.
  • Commodity futures — license + clearing partner cost; low strategic adjacency.
  • FSA-MFA-equivalent advanced features — exceeds current Type-1 license scope.
  • Some NISA migration windows — already expired for 2026.
5

Strategic Report · 五看三定

Five Views · Three Decisions

A 五看三定-framed synthesis: industry / market / competition / self / opportunity → direction / goals / path.

五看 (Five Views)

1行业 Industry

  • JP-equity commissions at zero
  • Profit pool → margin / FX / MMF / US / derivatives
  • No Open-Banking equivalent
  • FSA tightening on foreign brokers

2市场 Market

  • 5 segments (S1–S5)
  • FSA > NASDAQ > global users for trust
  • Decision support > autopilot for AI
  • Multi-broker is the norm

3竞争 Competition

  • SBI + Rakuten ≈ 70% of accounts
  • Cannot out-SBI on banking/points
  • Can out-flank on cross-border + AI + options
  • Webull is the closest peer threat

4自己 Self

  • Strengths: cross-border, AI, options, app UX
  • Weaknesses: brand trust, JP-stock depth, ecosystem
  • Constraint: Type-1 license, no Open Banking

5机会 Opportunity

  • JP-stock parity (defensive)
  • US-stock wedge (offensive)
  • Multi-currency cash + FX + Nikkei options
  • Cross-cut: trust + channel + conversion

三定 (Three Decisions)

定方向 · Direction

Cross-border AI broker for JP active retail

  • Win: S1 / S2 / S3
  • Defend: S4 (NISA window)
  • Concede: S5 (ecosystem-locked)
  • Don't pursue: JP-bank parity, commodity futures
定目标 · Goals

Share-of-wallet, not raw count

  • S1/S2/S3 share-of-wallet > 50%
  • US-options trial: 5% → 12%
  • NPS detractors → passives
  • FSA badge surfacing on every key screen
定路径 · Path

4-quarter build order

  • Q1–Q2: parity + US-options edu + FX
  • Q3: 投信 + MMF + AI localization
  • Q4: Nikkei options + trust wave 2
  • KOL-led channel · high-touch S2

2026 Build Order

Q1–Q2 · Foundation
  • JP-stock P0 (信用, color, sub-account)
  • US-options edu flow
  • FX widget + ≤0.3 pip
  • Trust wave 1 (FSA badge)
Q3 · Depth
  • 投信 partner integration
  • AI summary JP localization
  • Idle-cash MMF live
  • S2 high-touch desk
Q4 · Wedge expansion
  • Nikkei 225 options education
  • Futures partner exploration
  • Trust wave 2 (24/7 JP CS)
  • NPS recovery sweep
6

UX Priorities — 5 P0 Issues + 17 Design Details

From 体験問題清单 · cross-segment + per-segment

Two-layer structure. The 5 P0s are cross-segment signals (≥2 segments, ≥3 interviewees) — must clear before any new flagship. The 17 design details are specific UI / order / IA decisions, each backed by a named interviewee and tagged ★★★ (must-fix) / ★★ (important) / ★ (nice-to-have).

Layer 1 — P0 cross-segment issues (5)

≥2 segments · ≥3 interviewees each
📊

P0-1 · Daily P/L % missing (1+ year unfixed)

Watchlist / positions show ¥ change but not %. Every peer has it. S1+S2+S5. 「ずっと前から言ってるのに、実装できてないのが弊社だけ」 — root cause is upstream data, not design. Fix before any AI flagship; trust-debt symbol.

🗂️

P0-2 · No sub-accounts under one login

Long-term holdings and swings collide on one screen. Heavy users park long-term cash at 楽天/SBI as a self-discipline wall. S1+S2. Needs tab + visual wall isolation (opt-in), not filters / tags.

📰

P0-3 · Information overload kills mass-market

S4+S5: "情報が多すぎる" — downloaded then abandoned. Default density is right for S1, wrong for everyone else. Ship a Lite / 新手 mode with ≤5 first-screen elements and progressive disclosure.

🎟️

P0-4 · Coupon timing — surfaced after the order

「いっぱい買った後に見つかって…結局使えなかった」 (H キヌガワ, ¥100M AUM). Move coupon CTA to the order confirmation modal + push notification; out of L3 menu.

🔄

P0-5 · Desktop ↔ mobile data desync

Same ticker, different PE / analyst views / watchlist order across devices. Pro users (S1/S3) lose trust in the data source instantly. Show last-synced time prominently; make watchlist order cross-device.

Layer 2 — Design details (17)

★★★ must-fix · ★★ important · ★ extra

3.1 Visuals & charts (UI)

1. White background as default

★★★

「白い画面でやりたいんです.」「暗い画面は怖い. 証拠金維持率がぱっと見で分からないと不安.」— 417_03 (Rakuten 长期) · Magenta (JFX, non-MMuser)

Need: White/black toggle, default white (not OS-follow). JP conservative retail explicitly say dark "scares" them.

2. Margin maintenance ratio at-a-glance

★★★

「保証金維持率が見れるページがすごくたどり着きにくい.」— April23_01 (JFX/GMO Coin)

Need: Maintenance widget top-right of main trade screen, not L3 menu. Color-alert when approaching trigger. Safety anchor for conservative FX retail.

3. MA / indicator legend covers K-line highs

★★

「Desktop chart narrow; MA legend obscures highs.」— April20_02 (ex-Bloomberg)

Need: Draggable / collapsible legend; default top-left + semi-transparent; avoid common high/low zones.

4. Long-history (10y+) on niche pairs = moat

★★

「USD/TWD のチャート、楽天では 2010 年からしかない. 1990 年代まで遡れたら勝てる.」— クジョウ レン (Rakuten FX defector)

Need: Show earliest-available timestamp on the period switcher; surface data depth in chart footer as a differentiator.

5. Financial number formatting (JP 万 / 億)

Need: Thousands separator + locale unit (万 / 億) instead of pure Western K / M.

3.2 Orders & trading (core interaction)

6. Too many order types → wrong-order risk (FX pro)

★★★

「moomoo の注文タイプが多すぎて、何回かやらかした.」— 袁先生 (FTMO/EBC prop, full-time)

Need: FX mode shows only stop + limit by default; stocks keep the full menu. Order-type picker sortable by frequency. Pairs with "independent FX UI" principle.

7. Default lot size resets each order; history caps at 5

★★

「Lot-size resets after each order.」「Mobile history shows only 5 trades; force-scroll.」— April15_02 (FX multi-platform)

Need: Carry last lot size until changed; mobile history ≥20 with virtual scroll.

8. 1-lot unit varies broker-to-broker → wrong sizing

★★

「1-lot unit varies broker-to-broker → entry errors.」「1,000-unit minimum lot.」— April23_01 · Magenta (want 1k from 10k min)

Need: Order modal breadcrumb: "1 lot = X units (¥X)"; support 1,000-unit minimums to lower the trial bar.

9. 30-day / 1-month order TTL expires unexpectedly

★★★

「Order 30-day cap expires unexpectedly.」「逆指値が90日効くのが当たり前. 1ヶ月で切れる証券会社は使えない.」— April22_01 · つこ

Need: 90-day TTL as JP-domestic extended option; push T-3 + T-0 reminders; red countdown in order detail.

10. Trailing stop expires daily → manual re-entry every day

★★★

「Webull のトレールストップは日次で切れるから、毎日入れ直す. moomoo がそれだったら同じ.」— ナカムラ ヒロム · つこ

Need: Backend long-running orders; UI TTL becomes a dropdown (today / week / GTC / custom) with explicit date.

11. Cash ↔ margin (現物/信用) friction

★★

「現物と信用、両方触るので…資金移動も本当に…ちょっと面倒くさい.」— イチカワ トモヒロ (~35万 USD)

Need: Inline "insufficient funds → one-tap pull from 現物" CTA right on the order page — no jumping out.

3.3 Information architecture & AI

12. Watchlist-scoped AI ≫ full-market AI scan

★★★

「全然知らない銘柄って買いづらくて…お気に入りに入れてる銘柄の中から選んでくれたらすごい嬉しい.」— F みくろん (S4 ママ)

Need: AI entry defaults to "my watchlist / positions"; full-market is an opt-in mode, not the default.

13. AI pattern-recognition names but doesn't explain

★★★

「上昇フラッグだよ、って線引いてくれるのはありがたいんですけど、それによって次どうなる、っていうのが、僕はそこまでまだわかんない.」「サイゼリヤの決算で、ヘッドラインは beat なんだけど、市場が期待してたのはそれ以上.」— April21_02 · ヨウ メイカン

Need: Pattern panel must add "what next" + historical hit-rate; earnings AI must bind to consensus (EPS / rev / IV), never just beat/miss.

14. moomoo AI is slow + forces you off the chart

★★

「Slow moomoo AI; must leave chart to use.」— KURUMI + April20_02

Need: AI as right-side drawer / floating panel on top of the chart, not a separate screen; skeleton / streaming UI when latency >3s.

15. Single-stock deep dive is slow + overloaded

★★

「個別検索 information-overload vs SBI/Monex.」「Deep-dive financials slow on moomoo.」— April22_03

Need: Tab the stock page (fundamentals / technicals / news); progressive loading; 3-line "today's movers" summary above the fold.

16. Multi-account / multi-broker aggregation view

★★

「Manual spreadsheet portfolio aggregation.」— hibridge

Need: Legal blocks auto-mirror of SBI / 楽天 — so ship manual CSV import + "virtual position" view (labeled "not real-time, display only").

17. Detachable multi-window desktop layout

★★

「PC app cannot resize windows freely.」「detachable multi-window layout, folder-based watchlist grouping, in-platform memo.」— アオキ ケンジ (Monex futures pro)

Need: Desktop must pop charts into independent windows; folder-grouped watchlist; in-platform memo bound to ticker.

4 counter-intuitive reminders for designers

  • "More AI" ≠ solved problems. Multiple users (KURUMI / April21_02 / 181415561) call out moomoo AI as slow, un-explained, and out-of-context. AI entry needs restrained design, not stacking.
  • "More features" pushes mass-market away. S4 / S5 repeatedly say "too much information, gave up the download." S1's density is S4's deterrent. 新手 / Lite mode is must-have, not nice-to-have.
  • Cash rewards don't replace easy migration. Every S5 interviewee says "the hassle outweighs the bonus" — JP users are inertia-heavy. Lower the open-account & port-in friction on the flow itself.
  • One unified UI loses the pros. S3 (FX / futures) need an independent simplified UI, not FX bolted onto the stock screen. Design-system level decision, not a page-level patch. moomoo's new app framework may be the path to solve this.
7

Source Documents

9 docs · drill into any one for verbatim evidence
Strategy · Docx

Opportunities Summary v6

The actionable opportunity list — 5 areas + cross-cut, ✅ ⚠️ ❌ tagged.

Open →
Strategy · Wiki

Voice-of-Customer Synthesis

5-segment interview synthesis — the "why" behind every v6 line.

Open →
Strategy · Docx

Summary of Key Points

Asset-class-organized executive read across 6 sections.

Open →
Strategy · Docx

体験問題清单

17 design issues + 6 P0s · with verbatim quotes + ★ priority.

Open →
Source · Wiki

Records & Transcripts

Master tracker for all 33 interviews · the source of truth.

Open →
Source · Docx

站内问卷数据総結

N=547 survey findings · 42 charted questions.

Open →
Source · Sheet

站内问卷原始数据

Raw + crosstab tabs · re-cut anything not in the summary.

Open →
Takeaway · Docx

按每个人的Takeaway

33 standardized per-interviewee tables.

Open →
Strategy · Docx

Strategic Report (五看三定)

Top-down strategic narrative for 2026 BP.

Open →