CHUN_CASE STUDY / 03
CHUN_ALL WORK ↗
PREQIN / INVESTOR SUGGESTIONSUX/UI DESIGN · PRODUCT DESIGN · FINTECH
SELECTED WORK / 03

Investor
Suggestions.

Helping investment professionals discover relevant investors through connected data and relationship intelligence.

PREQINB2B PLATFORMINVESTOR INTELLIGENCE
EXPLORE CASE STUDY ↓
/01
PERSONA / THE USER

Meet
Ken.

Investment Relationship Manager

HONG KONG & SINGAPORE8 YEARS EXPERIENCEFAMILY OFFICES / PENSION FUNDS
Illustrative portrait of Ken working at a laptopFIG.01 / INVESTOR RELATIONSHIP MANAGER
A DAY IN HIS LIFE

Prepare

Review the investor pipeline and plan the day’s outreach.

KEY TASKS
  • Review investor pipeline
  • Check relationship signals
  • Prioritise outreach list
PAIN POINT

Relationship context is scattered across firms and funds.

01 — 06
/02

The problem.

Investor discovery is complex and time-consuming.

Investment professionals piece together fund data, investor profiles and relationship history across multiple sources to decide who to approach next.

/03
RESEARCH / DISCOVERY

Understanding
the workflow.

Mapping the fundraising journey exposed where relationship discovery, qualification and outreach decisions become fragmented.

01

Identify

Find investors who fit the fund's profile.

02

Understand

See the relationship context behind each suggestion.

03

Prioritise

Turn research into an actionable target list.

/04
THE PRODUCT

From discovery
to decisions.

A recommendations experience that lets users configure priorities, evaluate investors and act on the results.

01 / CONFIGURE

Rank what matters.

Set priorities across asset class, geography, strategy and investor type to focus the suggestions.

01 / 03
/05
EXPLAINABILITY

Make the logic
visible.

The recommendation model is exposed through a simple relationship diagram and supporting criteria, helping users understand why suggestions appear.

/06
RELATIONSHIP DISCOVERY

See how investors
are connected.

Beyond ranked recommendations, the exploration looks at the paths connecting GPs, LPs, funds and advisers.

/07
DESIGN EXPLORATIONS

Exploring
the experience.

Different interface explorations tackle ranking, recommendation evidence, and relationship discovery. These are grouped by design purpose rather than asserted chronology.

Fundraising journey research map01 / WORKFLOW RESEARCH
Configurable ranking criteria design02 / RANKING EXPLORATIONS
Recommendation modelling design03 / EXPLAINABILITY
Relationship discovery design04 / NETWORK EXPLORATION
/08
PRODUCT CAPABILITIES

What the design
enables.

These are supported product capabilities, not measured performance claims. Quantified outcomes can be added once validated.

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Discover

Surface relevant potential investors.

↗

Evaluate

Understand why a relationship may be relevant.

↗

Act

Build and manage a prioritised target list.

Enlarged project image