Investment Portfolio Risk Explanation
Design a portfolio view that explains concentration, volatility, time horizon, and scenario uncertainty without giving personal investment advice.
The brief
Understand the problem
Background
Portfolio apps often compress risk into a single score. That can hide whether exposure comes from one company, one market, short-term volatility, or a mismatch with the investor's stated time horizon.
User context
Naomi has invested for three years and notices that technology shares now make up most of her portfolio. She wants to understand the implications before speaking with a licensed adviser.
Product problem
Naomi needs an honest explanation of what the available data can and cannot say, with enough detail to identify questions rather than prescribe trades.
Objective
Create portfolio overview, risk factor, scenario, and terminology states that make uncertainty and concentration understandable.
What to design
Define the experience
Required experience
- Review overall allocation and data freshness
- Identify the largest contributors to concentration risk
- Explore a clearly labeled historical scenario
- Save questions and export context for an adviser conversation
Screens and states
- Portfolio risk overview
- Concentration factor detail
- Scenario explorer
- Glossary and adviser summary
Core user flow
Follow the critical path
- 01
Naomi sees that one sector drives 54 percent of her equity exposure
- 02
She opens the sector detail and traces the figure to four holdings
- 03
A historical downturn scenario shows a range rather than a forecast
- 04
She saves two questions and exports the holdings snapshot used
Product rules
Requirements and constraints
Requirements
- Define each risk measure beside the value
- Show source date, missing holdings, and currency basis
- Separate historical behavior from forward-looking scenarios
- Use accessible charts with tables and direct labels
- Provide context for an adviser discussion without recommending a transaction
Constraints
- Scenarios are illustrative and cannot predict returns
- Risk tolerance cannot be inferred from holdings alone
- Market prices and fund compositions may update at different times
Reality check
States worth considering
Ready-to-use content
Mock data
Use this content to test hierarchy and realistic data states. You can expand it when the concept needs more depth.
Risk factors
- Technology exposure: 54 percent
- Largest holding: 19 percent
- Foreign currency exposure: 28 percent
- Cash: 7 percent
- Holdings with stale prices: 1
Finish line
What to deliver
- Four responsive screens with accessible chart alternatives
- A concise risk-language guide for uncertainty and historical scenarios
If you want more
Optional extensions
Optional direction
Visual resources
Use these as a starting constraint if you want one. They are not part of the required solution.
Alfa Slab One & Coustard
Clear interface writing gives people the confidence to understand what changed and decide what to do next.
Alfa Slab One & Coustard
Clear interface writing gives people the confidence to understand what changed and decide what to do next.
Theory to review
UX principles for this brief
Use these as decision lenses, then validate the design with the people and context in the brief.
effectFraming EffectChoices can change when equivalent outcomes are described through different gain, loss, survival, or mortality frames.
modelIntrinsic Cognitive LoadIntrinsic cognitive load is the working-memory demand created by interacting elements that are inherent to what must be understood or performed.
effectLoss AversionIn many risky choices, losses relative to a reference point influence value more strongly than comparable gains, with magnitude varying by context.