02 · Customer Journey
From frozen to funded — without a single trading nudge
Four evidence-backed segments, one end-to-end journey from first search to advocacy, and the five moments where WealthCreate either earns trust or loses the user for good. Every stage has a KPI, every KPI has a benchmark, and every nudge passes a compliance test.
Segments: Maya · Dev · Priya · Ben8 stages5 moments of truthResearch current to Nov 2026
Starting point
The problem the journey has to solve
New-investor inflow has collapsed: only 8% of investors started in the last two years, down from 21% in 2021, and under-35s holding investments fell to 21%[1]. The blockers are not mainly money. 28% of non-investors say they don’t know how, and 33.6–40.4% say they don’t understand the market[2]. Risk is the weakest literacy domain at 36% correct[3]. Meanwhile 61% of under-35 investors follow finfluencers[1], whose misleading videos draw about 555k views versus 326k for accurate ones[6]. And while about a quarter of Gen Z and millennials already ask AI about money, only 3% of adults trust it “a great deal”[7].
Who we serve
Four segments, mapped to the research
The research proposes four personas; we map them onto the prototype’s canonical names. Maya and Dev are the consumer wedge; Priya is the 2026 tailwind; Ben is the B2B2C channel that hedges consumer acquisition cost.
Maya · the frozen first-timer (24, ICU nurse)
- Job to be done
- “Help me understand enough to make my first investment without feeling stupid or getting scammed.”
- Fears
- Not knowing how (28% of non-investors)[2]; fraud (37% worry, up from 31%)[1]; looking naive. $4k sits in checking.
- Triggers
- A raise or bonus; a coworker’s 401(k) conversation; a scary-good finfluencer clip.
- Channels
- YouTube (61% of under-35 investors use it)[1]; social (48% of Gen Z) and search (47%)[4].
- Success metric
- First automated ETF contribution within 30 days of becoming eligible for real investing.
Dev · the burned speculator restarting (36, career-switcher)
- Job to be done
- “Help me tell real strategies from hype and stop losing money — without being lectured.”
- Fears
- Being fooled again: 29% of under-35 investors have bought meme stocks and 62% believe big risks are necessary[1]; more than half of AI-advice users made a bad decision from it[8].
- Triggers
- A loss; a hype cycle; realizing his 401(k) is the larger, ignored asset.
- Channels
- Reddit/YouTube debunk content; 80% of Gen Z on speculative platforms say they feel behind[5] — Dev is the older version of that user.
- Success metric
- Diversified core + a self-set capped speculation sleeve; 401(k) contribution reviewed.
Priya · new parent, family wealth (34)
- Job to be done
- “Help me invest for my kid and teach them as they grow.”
- Fears
- Getting a brand-new program wrong; projections that read as promises (hypotheticals need audience-appropriate disclosure[32]); putting a child’s data in an app.
- Triggers
- Trump Accounts went live July 4, 2026: $1,000 federal seed for children born 2025–2028, $5,000/yr contributions, an employer-contribution path[9]. 29–30 states now mandate personal-finance courses[10].
- Channels
- Search (“Trump Account vs 529” — new, low-competition demand), parent communities, employer HR.
- Success metric
- Recurring contribution set + family learning plan active at 90 days.
Ben · employer-benefit learner (42, B2B2C)
- Job to be done
- “Explain my 401(k), my match and whether I’m on track — privately and without a sales pitch.”
- Fears
- Employer seeing his finances; being sold products; another login that goes nowhere.
- Triggers
- Open enrollment, a raise, a benefits fair. 92% of employers include financial health in well-being strategy, yet only 28–29% offer education beyond retirement[11][12].
- Channels
- HR email, benefits portal, SSO, Slack/Teams; credit-union partners.
- Success metric
- Contribution rate raised and auto-escalation enabled — the lever that moved participation from 37% to 86%[19].
Interactive
The journey map: eight stages, four lenses
Switch personas to see how the same eight stages feel different. The emotion curve dips exactly where the product has to work hardest — usually Practice (first simulated loss) and First real investment (real money, real anxiety).
Frozen first-timer · 24, ICU nurse, $4k saved, never invested
Stage
1 Discover
2 Sign up
3 Onboard
4 First lesson
5 Practice
6 First real investment
7 Habit / Grow
8 Advocate
Emotion+2 delighted−2 anxious
Doing
Watches a YouTube explainer between night shifts; searches “how to start investing”.
Signs up with Apple/Google; confirms 18+.
Picks goal “first $1,000 invested”; 6-question knowledge check.
Finishes a 6-minute lesson; asks the coach what an index fund is.
Builds a paper index-fund portfolio and replays a historical drawdown.
Passes readiness checklist; opens partner brokerage; buys an ETF with $50.
Turns on $50/mo auto-invest; keeps a learning streak.
Shares the emergency-fund lesson with two coworkers.
Thinking
“Everyone else seems to know this already. I don’t want to look stupid or get scammed.”
“Please don’t ask for my SSN yet.”
“Okay, it’s asking about me, not about which stock I like.”
“That actually made sense. And it showed where the answer came from.”
“Watching it drop was scary — but it came back, and I didn’t have to do anything.”
“This is real money now. What if I do it wrong?”
“I don’t have to think about it every week. That’s the point.”
“I wish someone had shown me this at 20.”
Touchpoints
YouTube short, SEO article, compound-interest calculator
Landing page, passkey signup
Onboarding, goal builder
Lesson player, AI coach with citations
Simulator (risk replay), coach debrief
Readiness checklist, partner KYC, Plaid link, order ticket
Auto-invest default, weekly lesson digest, goal progress
Share-a-lesson link, referral
Pain points
Can’t tell credible content from finfluencer hype.
Fear of a sales funnel or a brokerage form.
Quiz could feel like a test she can fail.
Wall-of-text answers; jargon.
Paper losses feel real; could scare her off.
Anxiety peak; KYC friction; fear of a wrong click.
Life gets busy; app drops off her radar.
Doesn’t want to look like she’s shilling.
Opportunity / feature
Credentialed short video + calculator with honest hypothetical disclosures.
No PII beyond email + DOB; “we teach, we don’t pick stocks” promise up front.
Frame as placement, not grading; start path at “Pay yourself first”.
Socratic coach that checks understanding, cites the lesson.
Simulate risk experience, not stock-picking; debrief what she felt.
Calm confirmation, no confetti; written “if it drops 20%” plan.
One-tap default at the end of each module; streaks on learning only.
Share lessons, never returns or holdings.
Stage KPI
Visit → signup ≥ 6%
Signup start → complete ≥ 75%
Goal set in session 1 ≥ 65%
Lesson mastered < 24h ≥ 55%
Risk replay within 7 days ≥ 35%
Eligible → funded in 60 days ≥ 20%
D30 retention ≥ 15%; auto-invest on ≥ 50% of funded
Referral invite sent ≥ 10% of activated
Scroll sideways on small screens. Emotion scores are design hypotheses to validate in discovery interviews; stage KPIs are targets, benchmarked in the funnel table below.
Make-or-break
Five moments of truth
| Moment | What the user is really asking | How WealthCreate handles it | Evidence |
|---|---|---|---|
| 1 · The first 90 seconds | “Is this another app that wants me to trade?” | Onboarding asks about goals and knowledge, never risk appetite for trading. No tickers, prices or “popular stocks” on the home screen. A one-line promise: we teach; we don’t pick stocks. | Robinhood MA settlement cited “popular stocks” lists[20] |
| 2 · First advice-bait question | “Should I buy NVDA with my $5k?” | Refuse-and-teach: the coach says it can’t recommend securities for the user’s situation, then teaches how people generally evaluate concentration, asks a Socratic question and cites the lesson. Same answer the tenth time. | Publisher exclusion covers impersonal content only[27]; tutor that withholds answers doubled learning gains[15]; FCA wants disclaimers at point of delivery[31] |
| 3 · First simulated loss | “If this were real, I’d have panicked.” | Risk replay walks a paper portfolio through a historical drawdown, then debriefs feelings and the plan. We score understanding, not paper P&L, and there are no leaderboards. | Risk simulations improve decisions[17]; stock-picking sim time showed no effect[18] |
| 4 · First real dollar | “Who actually holds my money, and is it safe?” | Clear partner disclosure (broker-dealer, SIPC), partner-run KYC, Plaid processor token so we never see bank numbers, calm confirmation with no confetti, and a written “if it drops 20%” plan. | Partner runs CIP/KYC[28]; processor tokens[29] |
| 5 · First real market drop | “Should I sell everything?” | No price push alerts. An in-app context card links the user’s own pre-written plan and their simulator replay, and the behavioral-traps lesson. The sell path is never blocked — we add one reflection screen. | FCA: push nudges increased risk-taking[21] |
North-star input
Aha moment and activation metric
The aha moment
“I understand what could happen to my money, and I have a plan for it.” It lands when the user sees their own goal turned into a monthly plan and has lived through a simulated drawdown of the portfolio they would actually hold.
Why not “first trade”? Education effects decay to near zero within about 20 months unless tied to a real decision[14], and well-designed education does change behavior[13]. The aha has to bundle understanding with a decision.
Activation = all four within 7 days of signup
- Goal created (with amount and horizon)
- ≥ 2 concepts mastered (quiz ≥ 80%), one of them Risk & return
- 1 risk replay completed in the simulator
- 1 coach conversation with a cited answer rated “helpful”
Target: 30% of signups activated (our target, to be validated in beta). The 7-day window mirrors Duolingo, where learners who reach a 7-day streak are 3.6x more likely to finish a course[16].
What we will measure
Funnel targets vs. benchmarks
Targets are ours and deliberately above category median where the product design gives us a reason to be. Benchmarks are cited; where no clean benchmark exists we say so.
| Stage | Metric | Target (12 mo post-launch) | Benchmark |
|---|---|---|---|
| Discover | Content visit → signup | ≥ 6% | No reliable public benchmark; finance newsletters open at ~43%, a proxy for content pull[26] |
| Sign up | Started → completed | ≥ 75% | Internal baseline set in beta (no PII beyond email + DOB keeps it short) |
| Onboard | Goal set in session 1 | ≥ 65% | Internal baseline |
| First lesson | Lesson mastered within 24h | ≥ 55% | MOOC completion 5–15%; short courses far higher[25] |
| Practice | Risk replay within 7 days | ≥ 35% | Risk sims transfer to real decisions[17] |
| Activation | All four activation events in 7 days | ≥ 30% | Our target; validate in beta |
| Habit | D30 retention | ≥ 15% | Finance apps: ~2–7% median, 10–15% strong[22] |
| Monetize | Free → paid | 5% of signups (base model) | Robinhood Gold reaches 14%+ of funded customers[24]; trial-to-paid median 45.7%[23] |
| Monetize | Annual-plan share of new paid | ≥ 60% | Annual plans retain ~48–54% at 6 months vs 12–22.5% monthly[23] |
| First real investment | Eligible → funded within 60 days (Phase 2) | ≥ 20% | No public benchmark for education-led funnels; set in Phase 2 pilot |
| Grow | Funded users with auto-invest on | ≥ 50% | Defaults moved 401(k) participation 37% → 86%[19] |
| Advocate | Activated users who share a lesson | ≥ 10% | Internal baseline |
Compliant by design
Lifecycle messaging plan
Rules for every message: education or the user’s own goal, never a security or price; no celebratory treatment of trades; at most 3 messages a week across channels; quiet hours 9pm–8am local; every message logged with template version.
| Trigger | Channel | Message intent | Never |
|---|---|---|---|
| Signup, no goal after 24h | “Pick one goal — it takes 60 seconds” with the three most common goals | Market headlines, tickers | |
| Lesson started, not finished (48h) | Push | Resume where you left off; minutes remaining | Streak-loss guilt copy |
| Day 3, no risk replay | In-app + email | “See what a bad year would look like before it’s real” | P&L leaderboards |
| Activation complete | Your plan summary + next lesson; annual-plan offer | Countdown or scarcity pricing | |
| Readiness checklist passed (Phase 2) | In-app only | Neutral explainer of the partner brokerage and what changes | Free-stock or deposit bonuses |
| First deposit settles | Plain receipt + link to the user’s own “if it drops” plan | Confetti, badges for trading | |
| Index drawdown crosses 10% / 20% | In-app card; one email digest | What a drop means for long-horizon goals; link to behavioral-traps lesson | “Buy the dip”, price alerts, push |
| Inactive 21 days | Goal progress + one 5-minute lesson | Market-move hooks | |
| Birthday month / open enrollment | Annual review: contribution check, auto-escalation reminder | Product cross-sell |
Frontstage / backstage
Service blueprint: the first real investment
The most regulated, most emotional step. WealthCreate owns the experience; the partner broker-dealer owns the account, KYC and custody.
| Step | Customer | Frontstage (UI) | Backstage (people/process) | Systems & evidence |
|---|---|---|---|---|
| 1 · Readiness | Taps “Invest for real” | Checklist: emergency-fund lesson, high-interest-debt lesson, Risk & return mastered | Curriculum team owns checklist content; legal-reviewed copy | Mastery service; checklist result logged (not a suitability decision) |
| 2 · Disclosure | Reads who does what | Partner broker-dealer + SIPC disclosure, fees, AI-coach limits | Partner approves disclosure copy (FINRA 2210 via partner) | Disclosure version ID stored with consent timestamp |
| 3 · KYC | Enters identity details | Partner-hosted KYC flow embedded | Partner runs CIP/AML; support escalation path agreed in contract | Broker API; we store only partner account ID[28] |
| 4 · Funding | Links bank | Plaid Link; amount picker with no default above $100 | Ops monitors failed links/returns | Plaid processor token; no bank numbers stored[29] |
| 5 · First order | Chooses an ETF herself | Neutral list sorted by user-chosen criteria (expense ratio, holdings); self-directed order ticket | Coach can explain the ticket; it has no order tools | Order via partner API; coach toolset excludes trading |
| 6 · Confirmation | Sees it settle | Calm receipt; “if it drops 20%” plan; auto-invest opt-in | Lifecycle team’s template set (no celebration) | Event to analytics; message template version logged |
| 7 · Archive | — | — | Compliance can retrieve the full record | WORM archive of coach turns + disclosures, ≥ 3 years[30] |
Click through
What the prototype demonstrates
Sign in as Maya or Dev to walk the journey; sign in as Ana (Head of Learning) to see the content studio behind it.
| Journey stage | What to look for | Open |
|---|---|---|
| Sign up | Persona sign-in; no brokerage data requested | Login |
| Onboard | Goal-first onboarding and placement | Onboarding |
| First lesson | Short lesson + mastery quiz | Pay yourself first |
| Moment 2 | Coach refuse-and-teach with citations | AI coach |
| Practice / Moment 3 | Risk replay on a paper portfolio | Simulator |
| Habit / Grow | Goals with hypothetical ranges and disclosures | Goals |
| Dev’s path | Debunking finfluencer claims | Spot bad advice |
| Moment 5 | Loss aversion and panic selling | Behavioral traps |
| Backstage | Curriculum authoring and review (Ana) | Studio |
Sources
- [1]FINRA Foundation — NFCS Investor Survey news release (Dec 2025)
- [2]Philadelphia Fed — Why some Americans don’t invest in the stock market
- [3]TIAA Institute–GFLEC Personal Finance Index 2025
- [4]FINRA Foundation / CFA Institute — Gen Z investors (2023)
- [5]CNBC — Young people, crypto, meme stocks and ‘financial nihilism’ (Sep 2025)
- [6]Money.ca — Finfluencer video accuracy study (1,764 videos)
- [7]Fortune — Gallup: AI usage vs. trust in financial advice (Aug 2026)
- [8]Fortune — Over half of Gen Z/millennials made a bad decision from AI advice (Sep 2025)
- [9]Forbes — Trump Accounts launch (Jul 2026)
- [10]NEFE — 2025 legislative review of K-12 financial education requirements
- [11]Business Group on Health — 2025 Employer Well-being Strategy Survey
- [12]HR.com & LearnLux — State of Employee Financial Wellness 2025
- [13]Kaiser, Lusardi, Menkhoff & Urban (2022), JFE — meta-analysis of 76 RCTs
- [14]Fernandes, Lynch & Netemeyer (2014), Management Science — decay of financial-education effects
- [15]Kestin et al. (2025), Scientific Reports — AI tutoring RCT
- [16]LingoBright — Duolingo streak and retention statistics
- [17]Zeisberger et al. — risk simulations improve investment decisions
- [18]Journal of Behavioral Finance (2023) — simulator time vs. real-money behavior
- [19]Thaler & Benartzi — Save More Tomorrow / auto-enrollment (JPE)
- [20]WealthManagement.com — Robinhood pays $7.5M to settle Massachusetts gamification charge
- [21]FCA — Trading apps kept under review over gaming concerns (2025)
- [22]Business of Apps — Finance app benchmarks
- [23]RevenueCat — State of Subscription Apps 2025
- [24]Robinhood — Q3 2025 results (Gold subscribers)
- [25]Skillademia — Online course completion statistics
- [26]Inbox Empire — Newsletter open-rate benchmarks
- [27]Lowe v. SEC, 472 U.S. 181 (1985)
- [28]Alpaca — Broker API overview (KYC/CIP responsibilities)
- [29]Plaid — Processor tokens (DriveWealth partnership docs)
- [30]Meilynx — SEC Rule 17a-4 and AI recordkeeping
- [31]ResultSense — FCA good and poor practice on AI disclaimers (Oct 2026)
- [32]SEC — Investment Adviser Marketing Rule compliance guide