One profile, two sides
Every fund profile has two sides. The manager builds it. The investor reads it to reach a yes or no. The same object, read from opposite ends. The old product served neither, so I designed both.
Start with the investor's side. It is two jobs, not one. An analyst screens for bad fits and decides whether to forward. A Portfolio Manager goes deep and builds the case for committee. A single layout could not do both, so the real question was never how to reorganise eight tabs. It was how to serve each job in one profile.
"I don't trust a number I can't see the reasoning for."
Eight tabs, one visible at a time. No path, no order, and one structure forced on two different jobs.
Eight tabs. The allocator holds the whole fund in their head.
The overview — invites you in
- 1HookDoes it clear my filters?
- 2ProofAre the returns real?
- 3RiskWorst drawdown, and recovery
- 4TrustCan I defend it?
- 5AccessHow do I proceed
The deep dive — when you're ready
- Performance analytics
- Risk & exposures
- Peer analysis
- Data room · 21 documents
- NDA-gated transparency
- IC memo generator
Eight tabs became two pages. The funnel invites you in and screens. The hub is the deep dive, for when you're ready to commit.
Conviction Funnel — for the screener
Analysts bounced between tabs and went straight back. No tab told them what question it answered. I mapped the sequence a screener actually follows, hook to access, and made it the shape of the page. Each section earns the next. Capped at five, because past that, testers lost the thread.
I prototyped in code with AI tools, since the scroll and data-density states could not be tested in Figma. The model gave me transitions in an afternoon, then defaulted to hiding detail until asked, the exact gating problem I was there to solve. Knowing when to overrule it was the skill.
Fixing the tab-bouncing
- The easy fixRelabel the tabs. But labels were never the problem. Analysts bounced because they had not formed the question each tab answered.
- The AI defaultHide detail until asked. That would rebuild the gating problem the research surfaced, so I overruled the model.
- What I builtFive sections in the screener's own order, with the manager's comment ahead of the returns.
View my comment
The team thought the manager's commentary sat too high in Proof. Every allocator in research told me they needed the reasoning before the numbers. So it stayed. Research outranked the room's instinct.

Investor Hub — for the decision-maker
Once the PM takes over, the job shifts from building conviction to building evidence. The hub is that evidence layer: gated document access compliance could sign off, and a memo generator that turns the data room and the LP's activity into a formatted IC memo before committee.
Data room documents
Session activity
Generated IC memo
- Summary and recommendation
- Performance and risk
- Operational due diligence
- Open questions

The manager's side
The manager sees the same decision form from the other end. The Fund dashboard is the conviction funnel in reverse. Who is looking, what they are reading, and what needs attention to earn the yes.
Managers also have to get on in the first place. That supply side was manual and piecemeal. I rebuilt it as an automated journey for the capital-introduction teams who bring managers on.
- Triggered invite from the capital-introduction team
- Staged reminders, no manual chasing
- Guided profile build, step by step
- Benchmark and holdings set up in place
- Teaches the product as the manager goes
- Self-serve, so the team scales without headcount
One journey, three touchpoints, built for the capital-introduction teams. The profile a manager fills here is what the investor's side then reads.
How a profile earns an investor's trust, I cover in Who uses a fund profile?
What it changed
Institutional allocation runs on months to years, and I left as the rebuild went live, so a closed conversion number could not exist on my timeline. The 20% is an honest projection. What could be measured had: 7 of 7 allocators reached the data tier unprompted in testing, and 420+ managers onboarded at one tier-1 prime broker. Splitting the hub's dual CTA also removed a compliance review the team had treated as unavoidable.
There was no brief. I ran the research, defined the problem, and led the rebuild. The AI prototyping framework became company-wide, and the onboarding journey became the template for every other bank.
Reflection
The insight came from the research, not the brief. Everyone called it an engagement problem. The recordings showed two jobs on the investor's side that needed different surfaces. I accepted that framing for two weeks while the answer sat in the tapes. I was watching for friction when I should have watched for intent.