Delivery Leaders

Know where delivery needs attention before commitments slip.

Nave uses flow analytics to show you when delivery performance has meaningfully changed, investigate what’s behind it, and forecast what your teams can realistically deliver.

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Detected by natural process limits

Nave Process Improvement card for the Payments API team: Work in Progress at risk with 11 tasks, above its stable range; Nave's advice: don't start any new work until something goes out of your process, and focus on the items that are nearly finished, such as items 1163, 1165 and 1166 in Awaiting Release

Every week, you need answers to four questions.

Signals across teams

Where does delivery need my attention?

Not every team whose metric moved needs intervention.

Nave uses natural process limits to distinguish meaningful changes from normal variation, so you know where investigation is actually warranted.

Nave Process Improvement dashboard for the Payments API team: Work in Progress Age unstable at 404 days in total, above its high limit, and Work in Progress at risk with 23 tasks, each with Nave's advice and the items to act on first, such as items 1113, 1114 and 1115 in Ready for SIT and SIT

AI Investigator

Why is this team slipping?

Go from “Mobile’s cycle time is getting worse” to the stage, work and evidence behind it.

Numbers are computed, not generated. AI investigates the evidence, it doesn’t create it.

Nave AI Investigator insights for Payments API during the incident. Urgent: 18 items are stuck in Ready for SIT, the stage is a systemic blockage, not a queue. Urgent: a cluster of items entered Ready for SIT together about 20 days ago and none have exited, investigate a shared dependency. Monitor: Awaiting Release shows elevated time at p85 (7 days), watch for a second accumulation point

Probabilistic forecasting

What can I safely commit to?

What can I commit to without asking teams for another estimate?

No story points. No estimates. Your forecast comes from how the team actually delivers.

Monte Carlo: Number of Tasks
Nave Monte Carlo number-of-tasks forecast for the Payments API team to 1 December 2026: a histogram of the simulated trials with the 95%, 85% and 50% lines; Nave's tooltip on the 85% line reads Number of Tasks: 39, Frequency: 130, Probability: 85.83%

Teams + Services + drill-down

Is this one team’s problem, or a delivery-system problem?

Compare delivery performance across teams and Services, then drill down when you need the underlying evidence.

Trends by Service · Digital Payments and Mobile Banking
Nave portfolio dashboard for Retail Banking, WIP Age Trends, WIP Trends and Throughput Trends from July to September 2026 by Service: Digital Payments' WIP age and work in progress climb into August and come back down and its throughput rises into August and falls back, while Mobile Banking stays steady on all three

Before/after evidence

And after you act, one question matters.

What happened after the change?

Compare delivery performance before and after a change to see what happened to cycle time, WIP, throughput and other flow metrics.

Nave value stream comparison for Digital Payments by week, 14 to 20 September 2026 against 7 to 13 September, 31 August to 20 September and 10 August to 20 September. Cycle Time at the 85th percentile: Payments API 16 days against 21, 17 and 31 days (down 24%, 6% and 48%), Payments Mobile 16 days against 17, 21 and 27 days (down 6%, 24% and 41%), Payments Web 17 days against 17, 17 and 29 days (level, level, down 41%). Average WIP: Payments API 8.29 against 9.86, 9.57 and 12.76 (down 16%, 13% and 35%), Payments Mobile 6.43 against 6.57, 7.10 and 7.29 (down 2%, 9% and 12%), Payments Web 6.86 against 5.71, 6.57 and 8.60 (up 20%, up 4%, down 20%)

Run delivery from evidence

Run the delivery conversation from evidence

Bring evidence into the conversations you’re already having.

  1. Team reviews

    Which signals need investigation?

  2. Delivery reviews

    Where are commitments at risk?

  3. Leadership updates

    What’s changing across teams and Services?

  4. Improvement reviews

    What changed after the intervention?

Customer evidence

What better delivery decisions look like in practice

67%of issues purged from the backlog

Decision: “I can use this data to determine when we need to start working on a bug to be able to resolve it before our commitment date.”

“Nave has enabled us to get bugs sorted faster using data-driven forecasting. We were able to cut the average lifetime of our bugs in half this way.”

Eduardo Pinzon Delivery Manager at Syngenta Digital
Read the Syngenta Digital story

75guaranteed deliveries per month, with a 95% forecast accuracy

Decision: they stopped estimating. Today they guarantee outcomes. Fixed scope, fixed timeline, fixed price.

“Do not be afraid of data. Sometimes we are afraid of looking at it. But you need to understand it. See what is going on, see why it’s happening.”

Yanna Lopes Head of Products at Nolte
Read the Nolte story

Make your next delivery decision from evidence.

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