Selected transformation / Financial intelligence
42

One incorrect number can travel very far.

We redesigned how analysts research, challenge, correct and approve financial data. Not as another dashboard, but as a visible chain of evidence and accountability.

Scroll to follow the number

Confidence does not come from data.It comes from how data becomes trusted.

01 / the hidden risk

A datapoint is never just a number.

Behind a published value sit analysts, source documents, judgement, discussion, correction, review and distribution. The previous workflow reduced that chain to a basic table—making the most important context invisible.

Flagged datapoint
42→76

The number changed. The real question was: who changed it, what evidence supported it, who reviewed it and where the corrected value travelled next?

1 number12 discussions · 3 reviewers · 2 corrections · 1 approval
02 / decision engine

Every datapoint earns trust.

We reframed feedback as a continuous decision system. Each stage preserves context and makes the next action obvious—without forcing analysts to jump between tools.

Capture / analyst workspace

Bring the work to the datapoint.

The analyst sees task priority, submission behaviour and the exact datapoint requiring action in one continuous workspace.

Product decisionReduce navigation before adding automation.
03 / product reveal

Confidence, designed into every decision.

A calm operating system for high-stakes data review. Workload, evidence, collaboration and approval stay connected around the exact record being changed.

Verity / Confidence workspace
Secure review environment
Workspace / Review sprint

Good afternoon, Arya.

Live review sprint

Resolve what matters.
Ship what is trusted.

46 records prioritised by impact, evidence quality and reviewer dependency.

Confidence75%137 of 196 complete
Submission pulseLast 24h
DirectCorrected+18% velocity
Selected record
Quarter Q1 · Revenue

Northstar Bank · Company intelligence · United States

MKSLAR
3 reviewers
Awaiting your decisionHigh impact
Original value40FY Q1 filing
Evidence-backed revision
Proposed value762 sources agree
!
Quarter Q3 · Margin
Evidence requested

Reviewer asked for a stronger source before approval.

“Validate against the latest filing.”
✓
Quarter Q4 · Revenue
Accepted 2/2

Verified and sent to four downstream systems.

Analyst Reviewer Published
A fictionalised interface created to protect client confidentiality while preserving the real workflow logic.
04 / inside one datapoint

A number with a memory.

Revenue / Q176
Approved · ready for distribution

Evidence stays attached.

Source context is visible at the moment a value is questioned, so analysts can defend or correct the datapoint without reconstructing the research trail.

05 / before and after

From feedback scattered everywhere to confidence in one place.

Before

The work was fragmented.

Tables carried values. Email carried context. Calls carried judgement. Nobody could see the complete state of a correction.

Spreadsheet · values without evidence
Email · review comments
Call · decision with no durable memory
After

The datapoint became the centre.

Research, discussion, correction, review and distribution now move around the same record—creating a system that protects confidence.

76trusted value
06 / value created

The product did not help people edit numbers. It helped organisations trust them.

For analysts01

One place to see priority, evidence, feedback and the next action.

For reviewers02

Clear decisions with visible provenance, ownership and history.

For data teams03

Approved values move downstream with less ambiguity and rework.

For the business04

A repeatable confidence system instead of isolated corrections.

The final principle

Great products do not organise information.
They organise confidence.

The interface ends here. The trust chain continues through every decision that depends on the number.