The most expensive program is the one that stopped moving
Stage-gates, prioritization, resourcing and forecasting for the programs that produce your products. Status comes from the experiments, QC results and formulations underneath; so a program that has stopped producing evidence shows up as a signal, not as a green box on a slide.
Deployed by 175+ enterprise product development teams
Deployed by Enterprise R&D and Innovation Teams
From intake through a gate decision and into resourcing
Every program starts as one record instead of a slide, a spreadsheet, and a status email.
Idea intake at the front: New ideas enter as candidates, get scored, and either become programs or stay visible as things consciously not pursued.
One record per program: Team, dates, objective, innovation type, and stage documentation held on the program itself, not scattered across a tracker, a folder, and a deck.
A live portfolio board: Every program's stage and status visible at a glance, from discovery through launch, so a stalled swap surfaces before the review instead of at it.
Parent and child programs: A platform initiative and its regional or product-line sub-projects roll up into one portfolio view instead of separate trackers.
Gates are only useful if the decision is made on evidence, and here the evidence is already attached.
Configurable stage-gates: Initiation and scoping, development and feasibility, scale-up and validation, then launch readiness and handover, configured per business unit rather than fixed platform-wide.
The gate becomes a record, not a ritual: Each gate captures a go, hold, or kill decision with the resourcing call and the supporting lab evidence, reviewed and approved inline.
What the evidence can include: Stability data and QC results against spec, formulation history and the number of iterations, and the open risks behind the decision.
E-signatures and audit trail: Every gate decision is signed and time-stamped, with a full audit trail of who approved what and when.
The most expensive program is often the one that stopped moving.
A stall is visible the day it starts: Milestones and tasks track as on track, blocked, at risk, or complete, so a stall surfaces immediately rather than at the next review.
Signals that expose a stall: Time-in-stage that has run past the norm, milestones that came and went unmet, absence of recent experiment or result activity, and patterns across past programs that tend to precede a stall.
Capacity freed, not just flagged: Every person freed from dead work can move to a live program, so rationalizing the portfolio becomes continuous instead of a once-a-quarter event.
Downstream impact flagged automatically: A missed milestone anywhere in the chain surfaces every program it affects, not just the one that slipped.
A portfolio decision that ignores capacity is a wish, not a plan.
Capacity by person, role, and lab: Plan across teams and sites, so the same specialists are not committed to five programs in the same quarter.
The money view: Budget versus actual and cost roll-ups across programs, plus a portfolio-level view of where money and effort are going and what the pipeline is worth.
Scenario planning on real data: What-if planning when a program is delayed or accelerated, reasoning over connected historical data rather than a spreadsheet of assumptions.
Planning before commitment: Model a delayed, accelerated, or reprioritized program's resourcing and budget impact before it happens, not after.
Watch PPM run on a live portfolio
A standalone walkthrough of planning, governance, stall detection, and resourcing, on a live portfolio rather than a slide.
Six moments PPM catches before they become problems
The idea enters as a candidate, gets scored, and either becomes a program or stays visible as something consciously not pursued, rather than living in an inbox.
A program cannot advance until the required evidence fields, stability data, QC results, formulation history, are complete.
Time-in-stage and missed milestones surface the stall the day it starts, not at the next review.
Capacity by person, role, and lab is visible before the commitment is made, not discovered after both programs are already behind.
Every program is ranked by value, risk, and strategic fit at once, so the ones that should be cut surface, rather than continuing quietly.
The portfolio view reads the same record as the lab, so it's current when it's presented, not stale by the time the deck goes out.
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Judge the system by where its status comes from,
not by how its dashboard looks.
When every project is linked to its experiments, quality, and production, the portfolio view is always current and every gate decision stands on evidence.
FAQs
They manage different objects. Product Lifecycle manages the product: its record, its bill of materials, its versions, from development through commercialization. Project Portfolio Management manages the programs that create products, including gates, prioritization, resourcing, and forecasting. Buyers usually evaluate them against different vendors, which is why Uncountable keeps them as peer products.
It can flag time-in-stage beyond the norm, missed milestones, and the absence of recent experiment or result activity, so a stall surfaces the day it starts rather than at the next review.
Configurable stage-gates with go, hold, or kill decisions and supporting data attached, prioritization scoring by value, risk, and strategic fit, resource and capacity planning by person, role, and lab, portfolio dashboards, revenue forecasting, and idea intake with milestones and dependencies. A Gantt view attaches to each program and maps deliverables to a timeline.
No. PPM governs the portfolio on the same data model as the lab and the product record, which is the connection a general-purpose planning tool does not have. Teams commonly run both, with Uncountable governing the programs and the evidence behind each gate, and the enterprise tool holding the wider corporate portfolio.
Replacing a legacy PPM tool or spreadsheet-based process?
