Execution Verdict System for engineering and delivery leaders

Know which delivery commitment is at risk, before it slips.

NuePrism analyzes current Jira delivery evidence, identifies the execution patterns most likely to affect commitments, and shows leaders where intervention is needed, without replacing existing workflows.

Team AlphaSprint 1.2.4
Delivery volatility
Critical severityHigh impact

Evidence

  • Work items with no movement across several days
  • Items sent back from review to development
  • Several items waiting on the same dependency
Next move. Delivery lead: review stalled items in the next stand-up.
Jira data is sufficient to support this verdictIllustrative data

Here is what a verdict looks like

Every verdict links to the Jira items behind it, so you can check the reasoning instead of taking it on trust. NuePrism identifies the most likely drivers. It does not claim to prove root cause.

What it reads

Status history, ageing, work in progress, scope movement and sprint data from Jira, interpreted against how your team actually works.

Focus areas raised

Flow discipline, review load, dependency handling.

What it concludes

Delivery flow is breaking down.

Likely driver

Review capacity has become the constraint on work in progress.

Evidence

  • Work items with no movement across several days
  • Items sent back from review to development
  • Several items waiting on the same dependency

Who should act

Delivery leadReview stalled items in the next stand-up.Addresses the items with no movement.
Engineering managerRebalance review ownership across the team.Addresses review as the constraint.
Product ownerClarify acceptance criteria on items sent back.Addresses rework from unclear intent.

Illustrative layout with generic labels and synthetic data. It shows the structure of a verdict, not a customer result.

Why delivery becomes unpredictable

Engineering organizations generate massive delivery data, yet most leaders still struggle with:

Hidden execution risk in commitments

Predictability that feels accidental, not reliable

What to fix first — beyond dashboards

Connecting team activity to business outcomes

Traditional dashboards tell you what happened. NuePrism tells you what matters next.

How NuePrism differs from dashboards

NuePrism turns delivery signals into verdicts, the evidence behind them, and focus areas for the people responsible.

Typical reporting and dashboard approachNuePrism
Shows delivery metrics and trendsInterprets execution signals into a verdict
Surfaces what changedHighlights what is most likely threatening delivery
Leaves the user to connect signalsCorrelates signals across execution evidence
Displays issuesLinks findings to focus areas and actions
Measures current stateTracks whether actions changed subsequent outcomes

How NuePrism works

  1. Collect Signals

    Ingest data from your existing delivery systems.

  2. Correlate

    Normalize and correlate signals across time windows.

  3. Detect Risks

    Identify execution risks, bottlenecks, and constraints.

  4. Diagnose

    Surface likely execution drivers and their delivery impact.

  5. Recommend

    Prioritize actions with owners and expected outcomes.

  6. Measure & Learn

    Track results and learn from every cycle.

What NuePrism helps leaders decide

  • Which commitment needs intervention now?
  • What is most likely causing the risk?
  • Who needs to act?
  • Did the intervention improve predictability?

Built for the execution system, not for ranking people

NuePrism does not score productivity, compare individuals or feed appraisals. Signals describe how work moves through the system. People-related context can help explain a pattern, but it is never the finding.

Leadership

The verdict and its trend, without the operational detail.

Delivery and management

The verdict, the evidence and the interventions for the teams you oversee.

Engineers

The working view: what is actionable now.

See it on one team, over two sprints

A deliberately narrow evaluation: one Jira team, an agreed scope, and a decision point at the end. It is not an open-ended proof of concept.

  1. Agree the scopeOne Jira team, an agreed board and roughly two sprint cycles.
  2. ConnectA Forge-based Jira integration that authorizes only the scope required.
  3. Configure the teamOperating model, work-item structure, and who owns which actions.
  4. Validate the dataCheck Jira is read correctly. Gaps are shown as limitations, not hidden.
  5. First diagnosisNuePrism establishes the team's current state and starts issuing verdicts and actions.
  6. Review togetherConclude, refine, extend, expand to more teams, or discuss adoption.

Four questions we answer together

  • DetectionDid it find conditions your delivery leaders wanted to know about?
  • EvidenceCould the team inspect why each condition was raised?
  • RelevanceDid the diagnosis fit how the team really works?
  • ActionabilityWas each action useful to the person who owns it?

Pricing

Start with one team diagnosis, then scale execution intelligence across products and programs.

Team Diagnostic

For one team validating execution risk and sprint predictability.

$50 / team / month
Annual: $600 / team / year
  • 1 team / board
  • Execution verdicts
  • Evidence and focus areas
  • Monthly diagnostic review
Start Diagnostic

Enterprise

For larger engineering organizations with multiple products, Agile Release Trains (ARTs), and leadership layers.

Custom
Volume pricing and rollout support
  • Unlimited / custom teams
  • Enterprise governance views
  • Custom integrations
  • Executive outcome reviews
Contact Sales
Pricing is indicative and can be adjusted based on connected data sources, team count, and deployment scope.

Frequently asked questions

What is NuePrism?

NuePrism is an Execution Verdict System for software delivery organizations. It analyzes delivery data from connected systems, identifies execution risks, and produces evidence-backed verdicts that show what is most likely affecting delivery, where to focus, and what action to consider. Jira is the current production integration.

Which tools does NuePrism work with today?

Jira is NuePrism's current production integration, delivered through an Atlassian Forge-based app. Additional engineering evidence sources, such as source control, are on the product roadmap and are not yet available.

Do I need to replace Jira or change how my teams work?

No. NuePrism works on top of your existing Jira setup. During setup we configure your team's operating model, work-item structure, and roles so verdicts reflect how your teams actually work.

Is NuePrism just another dashboard?

No. A dashboard shows metrics and leaves you to interpret them. NuePrism interprets execution signals into a verdict, shows the Jira evidence behind it, and links it to focus areas and actions for the right owner.

What does an execution verdict tell me?

An execution verdict summarizes the current delivery condition, the most likely execution drivers behind it, the supporting evidence, and the areas that need attention. It is intended to help leaders move from observing metrics to deciding where intervention is needed.

How does NuePrism reach a verdict?

NuePrism evaluates Jira delivery data against configured execution principles, deterministic signals, thresholds, and team context. These signals are combined into an execution verdict with supporting evidence and prioritized focus areas. AI may help explain the resulting diagnosis in clear language, but it does not independently determine the verdict. You can inspect the evidence behind every verdict.

Does NuePrism prove the root cause of a delivery problem?

No. NuePrism identifies the most likely execution drivers and shows the evidence supporting that diagnosis. Delivery leaders can inspect the evidence, consider alternative explanations, and decide what action to take.

How is NuePrism different from engineering analytics tools?

Engineering analytics tools typically help teams observe metrics, trends, and workflow performance. NuePrism uses execution signals to form an explicit delivery verdict, explains the evidence behind that verdict, and connects the diagnosis to focus areas and actions. The distinction is diagnosis and decision support rather than reporting alone.

What happens if our Jira data is incomplete or messy?

NuePrism shows where required data is missing or unreliable instead of treating it as evidence. Data quality affects how much NuePrism can tell you, so we validate your data with you before relying on the results.

How long does it take to see value?

Initial insights can be generated once sufficient delivery data is connected and configured. How quickly those insights become meaningful depends on data quality, available history, and team context. Evaluations are scoped with an agreed review point so both sides can assess whether the diagnosis is useful.

How is our data handled?

Data is encrypted in transit, each customer's data is isolated from other customers, and users sign in through Atlassian identity, so NuePrism stores no passwords. NuePrism does not currently hold SOC 2 or ISO 27001 certification. Access scope, data fields, retention, and deletion terms are agreed before any production data is connected, and our Security and Data Handling Overview is available on request.

Is NuePrism generally available?

NuePrism is available for selected evaluation and pilot engagements. Book a demo to discuss whether it fits your teams.

Bring the commitment you are least confident about.

Bring one active sprint whose outcome you are uncertain about. We'll show how NuePrism would diagnose it.

Book a Live Demo