The shared growth portfolio

Structure and monitor opportunities on a shared evidence base

Teams compare options, link evidence to its source and retain a memory of decisions and outcomes. Existing systems remain the source of record; the final decision remains human.

Shared viewopportunities and priorities
Visible evidencesources, limits, contradictions
Next testtargeted critical hypothesis
Useful memorychoice and learning
Growth decision platform

Growth Portfolio Platform turns fragmented sources into comparable opportunities, an Evidence Graph, decision matrices, test plans and portfolio memory. It prepares a traceable recommendation without taking criteria, validation or the final decision away from teams.

Detailed product video

See the platform transform signals into decisions

A more detailed video to explain how the platform collects, structures, compares and produces an actionable recommendation.

Growth Portfolio Platform: what your teams share

Not another technical layer. A clear view of opportunities, their evidence level, critical assumptions and next action.

Recommendationprioritised option Riskvisible limits DecisionGO / TEST / STOP

You already have the data. The problem is knowing what to do with it.

Organisations accumulate market research, CRM data, competitive analysis, web listening, voice-of-the-customer insight, benchmarks and field feedback.

The problem is not lack of data. The problem is transforming this data into quick and reliable decisions.

Data remains scattered. Teams work in silos. Analyses are piling up. Decisions take months.

Six capabilities that prepare a human decision

The platform structures the recommendation; teams retain criteria, validation and the final decision.

01

Collect signals

Inputs
Research, CRM, VoC, intelligence, web and competition.
Operation
Qualify sources and scope.
Output
Sourced signals
02

Structure opportunities

Inputs
Problem, segment, use case, potential and constraints.
Operation
Turn signals into comparable objects.
Output
Opportunity Cards
03

Connect evidence

Inputs
Sources, excerpts, limitations and contradictions.
Operation
Retain the link between claim and evidence.
Output
Evidence Graph
04

Compare options

Inputs
Business, customer, risk and feasibility criteria.
Operation
Make criteria and weightings explicit.
Output
Decision Matrix
05

Manage tests

Inputs
Critical assumptions and missing evidence.
Operation
Choose the test that reduces uncertainty most.
Output
Validation plan
06

Retain decisions

Inputs
GO, TEST, STOP, results and owners.
Operation
Keep decisions and learning reusable.
Output
Portfolio View
Sources approved by the teamEditable criteria and weightsContradictions retainedFinal decision remains human

Directly usable outputs

You leave not with more data, but with a decision.

Prioritised opportunities. Estimation of market potential. Risk analysis. Clear recommendation. Consolidated vision of the market. Alignment of teams.

Your strategic data remains under your control

The platform must give mid-sized and large enterprises confidence in confidentiality, traceability and governance.

EU hosting. Encrypted data. No AI training on your data. Full traceability.

Frequently asked questions

Direct answers about the decision, evidence and human accountability.

Which data can InnovFast use?

Research, CRM, Voice of the Customer, competitive intelligence, web sources and approved internal data can be connected to a specific opportunity and decision.

How do recommendations remain auditable?

Each claim can retain its source, limitations, contradictions, related assumption and completed human validation.

Does the platform decide automatically?

No. InnovFast prepares an evidence-based recommendation and the next useful test. Teams retain criteria, weightings and the final decision.

See a decision pack in the platform

The demo uses illustrative data to show sources, options, criteria, validation and outputs.

Request a demonstration
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