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For Product Leaders — The Navigator

You hit every sprint target.
Then the review showed
none of it moved the metrics.

AI made building cheap. Shipping the work that actually creates value is now your edge — validate every idea and walk into every stakeholder review with proof.

Works above Jira, Azure DevOps, and Linear.
Backlog — OKR alignment · Sprint 25
Live
Scored against Q2 OKRs
Guest checkout flow
94% OKR
RICE 84
Self-serve onboarding
88% OKR
RICE 71
Admin order export CSV
22% OKR
RICE 18
Legacy API v1 migration
No OKR
RICE 9
Albert AI — 2 stories lack OKR alignment. Deferring could recover 23% of sprint capacity for higher-value work.

Trusted by product leaders at

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Your real challenge
"AI can write the PRD.
Who ensures we build the right thing?"

AI copilots make it faster to build software. But the most expensive mistake hasn't changed — building the wrong thing, with a misaligned team, too late to course-correct. Performalise is the intelligence layer that answers the question AI tooling can't: are we building what actually matters?

Validate before you commit
Every idea through a 5-stage discovery pipeline — value, OKR alignment, stakeholder sign-off, technical feasibility — before it touches a sprint.
Score everything against strategy
RICE scoring and OKR alignment calculated automatically. The backlog ranked by value — not by who asked loudest in the last planning session.
Walk in with proof, not hope
Delivery forecasts accurate to ±4 weeks. Stakeholder narratives prepared automatically. Every decision backed by data you can defend.
The product leader's problem
Busy is not the same
as building the right thing.

Your team is shipping. Your velocity is healthy. And somehow, the quarterly review shows that almost none of it moved the metrics. Performalise closes that gap.

40%

Of sprint capacity spent on work that doesn't move a strategic metric

Invisible to velocity charts. Invisible to Jira. Visible only when the quarterly review lands and the numbers haven't moved.

3 tools

The average PM assembles stakeholder updates from three separate sources

Jira for delivery, Miro for discovery, a spreadsheet for the narrative. Stitched together manually. Already out of date by the time it lands.

±4 months

Typical delivery forecast uncertainty without Performalise

Tightened to ±4 weeks with Predictability. The difference between "we think Q3" and "we're confident in the 14th of August with 78% probability."

A PM's week
Before and after Performalise.

Same role. Same team. Completely different quality of decision-making — and a lot less Sunday prep.

Before Performalise
Backlog by magic
Ideas appear in sprint planning with no evidence of value, no OKR link, and no stakeholder sign-off — just momentum and whoever was loudest
Stakeholder updates take half a day
Pulling from Jira, checking Miro, building a slide deck, then watching it go out of date before the meeting
"When will it ship?" is always a guess
You say "Q3" because that's what you were told. The confidence interval is enormous. You know it. They know it.
Technical risk surfaces in the sprint
A story that looked like 3 points turns out to have a GDPR dependency. You find out on day 3. The sprint is already compromised.
Quarterly review: the metrics didn't move
The team hit 94% of sprint targets. But almost none of it was connected to what the business actually needed. Busy, not right.
With Performalise
Every story arrives validated
5-stage discovery pipeline — value scored, OKR linked, stakeholder approved, technical risk flagged — before planning even begins
Stakeholder update: one click
Albert AI assembles the delivery narrative from live data — current, accurate, formatted for the room. No prep. No spreadsheets.
"14th August, 78% confidence"
Delivery forecast accurate to ±4 weeks with optimistic, likely, and pessimistic scenarios. You can finally answer "when?" with a number you stand behind
Technical risk caught at Stage 4
Engineering reviews every story in discovery — dependencies, complexity, risks flagged before the sprint starts. Day 3 surprises eliminated upstream
Quarterly review: the metrics moved
Every story connected to an OKR. Every sprint scored against strategy. The gap between busy and right closes — permanently
What you get
Four capabilities built
for how product leaders think.

Not feature lists. Decisions you can make with confidence — from backlog prioritisation to board-ready delivery forecasts.

5-stage discovery pipeline
Every idea validated for value, OKR fit, stakeholder alignment, and technical feasibility — before it enters a sprint.
Value Intelligence — RICE + OKR scoring
Every initiative scored on reach, impact, confidence, and effort. Misaligned work flagged before it consumes sprint capacity.
Delivery forecast — ±4 week accuracy
Optimistic, likely, and pessimistic scenarios with confidence scores. Answer "when?" with a number you can defend.
Albert AI — stakeholder narratives on demand
Agile Event briefs, delivery updates, and progress summaries assembled automatically from live data. No manual prep required.
Backlog — value scored · Sprint 25
Live
Ranked by RICE · OKR alignment scored
Guest checkout flow
94% OKR
RICE 84
Self-serve onboarding
88% OKR
RICE 71
Email notification prefs
54% OKR
RICE 39
Admin CSV export
22% OKR
RICE 18
Legacy API v1 migration
No OKR
RICE 9
Albert AI — Deferring bottom 2 stories recovers 23% sprint capacity. Recommend prioritising Guest checkout and Self-serve for Sprint 25.
Meet Albert AI
Your intelligence layer.
Every decision, data-backed.

Albert AI doesn't just surface numbers — it surfaces the right question at the right moment. The insight you need before the meeting, not during it.

Backlog prioritisation — data not opinion
RICE scoring and OKR alignment calculated automatically. Albert AI ranks your backlog by value and flags anything that doesn't map to a current strategic objective.
Discovery pipeline — 5 stages, zero gaps
Value, OKR, stakeholder, technical, ready. Albert AI guides every idea through each stage and flags when something's missing before it enters planning.
Delivery forecast — a number you can defend
Optimistic, likely, pessimistic. Confidence interval. Risk-adjusted. Updated every sprint. Walk into any review with a forecast you believe in.
Stakeholder updates — automatic, always current
Albert AI assembles the delivery narrative from live sprint data. Formatted for the room. Ready before you need it. No Sunday prep required.
Albert AI
PM intelligence
Live
Which backlog items should I prioritise for Sprint 25?
Top two are clear: Guest checkout flow (RICE 84, 94% OKR alignment) and Self-serve onboarding (RICE 71, 88% aligned). Both have full stakeholder sign-off. I'd recommend deferring Admin CSV export and Legacy API migration — combined they represent 23% of sprint capacity with minimal strategic value this quarter.
What's our delivery forecast for the Q2 release?
Based on current velocity and scope: Likely: 14 August (78% confidence). Optimistic: 31 July if Team Nova maintains current pace. Pessimistic: 4 September if the API dependency slips. Three active risk factors — I'd address the API-88 dependency first, it has the highest impact on the likely date.
I need a stakeholder update for Thursday's review
Here's your Thursday summary: Sprint 24 — 87% goal completion. Guest checkout 60% complete, on track. Self-serve onboarding starting Sprint 25. Delivery confidence 78%, likely date 14 August. One risk flagged (API dependency). Ready to export as a one-pager.
How it works
From chaos to confidence
in three steps.

No transformation programme. No new process. Performalise connects to your existing tools and starts improving decision quality from sprint one.

1

Connect your tools

Works with Jira, MS Azure DevOps, and other tools — connected in minutes. Performalise immediately starts tracking delivery patterns, backlog health, and team alignment.

Day 1 — first insights live
2

Score and align your backlog

Albert AI scores every idea against OKRs, runs RICE analysis, and flags anything misaligned before it touches a sprint. Your backlog ranked by value — automatically, every sprint.

Sprint 2 — backlog ranked
3

Ship with confidence

Delivery forecasts accurate to ±4 weeks. Stakeholder updates assembled automatically. Every sprint connected to strategy. Walk into every meeting knowing you're building what matters.

Month 2+ — proof in every review
Built for PMs
The capabilities that change
how product leaders work.

Four platform capabilities that connect discovery to delivery — and give you the evidence to back every decision.

5
Validation stages
Product Discovery
5-stage pipeline that validates every idea — value, OKR, stakeholder, technical, ready. No more backlog by magic.
40%
Sprint budget quietly wasted
Value Intelligence
RICE scoring, OKR alignment, and cost of delay. Surface the leaks before they waste a sprint's worth of effort.
±4w
Forecast accuracy
Predictability
Delivery forecast accurate to ±4 weeks with confidence scores and scenario modelling. Answer "when?" with a number you believe in.
5
Agile events covered
Agile Events
Planning sessions driven by backlog intelligence. Every ceremony briefed by Albert AI so you walk in with the right conversation.
What product teams say
Finally knowing why we're building
what we're building.
We killed three features last quarter that would have taken four months to build — all because the discovery pipeline flagged them early. That's real ROI.
RS
Rachel S.
Director of Product
RICE scoring changed how we talk about priority. It's no longer opinions in a room — it's data on a screen that everyone trusts.
JK
James K.
Head of Product
My roadmap used to be a political document. Now it's a living system connected to what teams are actually delivering every sprint.
NV
Nina V.
VP Product
Book a PM demo

See what Performalise surfaces
in your backlog.

30 minutes. We connect to your Jira or Azure DevOps and show you exactly which stories are aligned to your OKRs — and which ones are quietly consuming sprint capacity for no strategic return. No slide deck. Your data.

Ask Albert anything about Performalise
Albert AI
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