Portfolio Management Dashboard
Role Product Designer
Team PM · Engineering
Timeline 3 Months
Scope End-to-end (UX, UI, concept)

Asset managers think in portfolios,
not individual properties

The platform originally focused on individual properties. But asset managers operate at a portfolio level — their goal is to maximize ROI and cash flow across multiple assets simultaneously.

Without a portfolio view, users had no way to assess overall performance or know where to act first. Every decision required individually analyzing each property, increasing cognitive load and slowing down the workflow significantly.

Properties map view

Before: property list with no portfolio context

Design for decisions, not just data

The hypothesis: shifting to a portfolio-centric view with actionable insights would enable faster, more confident decisions and drive better portfolio performance overall.

"A portfolio view only creates value if it tells users what to do next — not just where things stand."

Constraints shaped the approach early. Limited user data and tight timelines meant we couldn't rely on collected evidence. Instead, we built a prototype grounded in assumptions and prioritized rapid testing to validate our direction quickly.

Narrowing from complexity to clarity

Early concepts explored multiple tabs across finance, energy, and construction — a natural starting point for a platform managing multi-dimensional assets. But presenting all dimensions at once added cognitive weight and relied on incomplete data sources.

We narrowed scope to the two areas that mattered most and were best supported by available data: Current State (portfolio health) and Strategy (actionable roadmap).

FigJam portal architecture

Portal architecture — portfolio integration mapped in FigJam

Four layers of portfolio intelligence

01 — Portfolio Health
Current State at a Glance
High-level KPIs and summary indicators give immediate insight into overall portfolio performance. Users can assess health without drilling into individual properties.
02 — Strategy
Three Scenarios, Clear Trade-offs
Minimum investment (low-cost improvements), Balanced (optimized cost-to-impact ratio), and Best Outcome (maximum improvement potential) — letting users choose a strategy that fits their priorities.
03 — Roadmap
Prioritized Order of Action
Properties ranked by improvement potential, showing the optimal sequence to tackle. Reduces manual analysis, enabling portfolio-level decision-making in minutes rather than hours.
04 — Configurator
Adjust Measures, See the Impact
The roadmap integrates with a configurator so users can fine-tune renovation measures per property and see projected impact reflected across the whole portfolio.

From raw data to actionable intelligence

Portfolio strategy view

Portfolio strategy — three scenario approaches with investment and decarbonization comparison

A clearer path to better decisions

Before
  • Simple list of individual properties
  • No cross-portfolio view or health signals
  • No prioritization — every property felt equal
  • Decisions required manual analysis of each asset
  • High cognitive load, fragmented workflow
After
  • Portfolio health overview with KPIs at a glance
  • Strategy scenarios showing clear trade-offs
  • Actionable roadmap with ranked properties
  • Configurator integration for per-property tuning
  • Decisions grounded in prioritization, not raw data

Tested with real asset managers

The portfolio and strategy features were validated through 8 user testing sessions with asset managers. The roadmap/strategy view consistently emerged as the most valued feature — users appreciated having a clear starting point rather than being presented with all data simultaneously.

User testing documentation in Notion

User testing sessions documented in Notion — portfolio insights tracking

Prioritization over data

Portfolio-level design adds most value through guidance and ranked action — not by surfacing more raw data. Users trusted the system more when it told them where to start.

Focused scope enables velocity

Narrowing to Current State and Strategy — rather than building all dimensions at once — allowed rapid prototyping and validation under real data constraints.

What's next

Future iterations will extend to commercial properties, refine scenario customization, and deepen the connection between strategy selection and configurator output.