{"id":7566,"date":"2026-02-26T11:09:04","date_gmt":"2026-02-26T10:09:04","guid":{"rendered":"https:\/\/getnave.com\/blog\/?p=7566"},"modified":"2026-02-26T11:23:52","modified_gmt":"2026-02-26T10:23:52","slug":"ai-investigates-your-team-data","status":"publish","type":"post","link":"https:\/\/getnave.com\/blog\/ai-investigates-your-team-data\/","title":{"rendered":"Three Problems Your Team Didn’t Know It Had"},"content":{"rendered":"
<\/div>\n

I opened a dashboard in Nave. Before I’d looked at a single chart, this was waiting in the sidebar.<\/p>\n

\"[IMAGE:<\/a><\/p>\n

Three insights. One marked URGENT.<\/p>\n

The Deployment Constraint<\/h2>\n

\"[IMAGE:<\/a><\/p>\n

Ready for Deployment is accumulating 24 items with no deployment capacity. That’s 63% of all work in progress \u2014 in a single queue. Work arrives at 1.53 items per day but only 0.78 exit. A 49% capacity shortfall. The backlog grows by roughly 23 items per month at current rates.<\/p>\n

Two items \u2014 2143 EX 3 and 2143 EX 4 \u2014 have been waiting 28-29 days. The stage’s 95th percentile is 3 days. These items are 9x over.<\/p>\n

And it already knows what to do. Increase deployment frequency or batch size to match 1.5+ items per day sustained throughput. If deployments are scheduled weekly or biweekly, switch to on-demand or daily windows. Stop starting new development work until deployment capacity increases \u2014 pulling more work forward will only extend wait times.<\/p>\n

Not “WIP is high.” Not “add capacity.” A specific diagnosis: insufficient deployment capacity or frequency. Not a policy problem \u2014 zero blockers recorded.<\/p>\n

The Investigation Trail<\/h2>\n

I clicked “See why.”<\/p>\n

\"[IMAGE:<\/a><\/p>\n

Every step visible:<\/p>\n

    \n
  1. Checked stage throughput vs arrival rates across all stages \u2014 all stages flow at 1.5-1.9 items per day except Ready for Deployment at 0.78<\/li>\n
  2. Examined WIP distribution \u2014 24 of 38 items (63%) concentrated in the deployment queue<\/li>\n
  3. Compared current wait times to stage percentiles \u2014 28-29 days vs p95 of 3 days, a systemic capacity problem, not an outlier<\/li>\n
  4. Checked for blockers or policy constraints \u2014 zero blocked items, this is a throughput\/capacity issue<\/li>\n<\/ol>\n

    Not a list of observations. A chain. From the throughput gap to the accumulation to the specific items caught in it to the root cause.<\/p>\n

    The Related Work<\/h2>\n

    \"[IMAGE:<\/a><\/p>\n

    Then it checked every other stage. And found something in the testing pipeline.<\/p>\n

    Seven items moving as a batch through testing stages. Five of them with identical timing: 6.01-6.02 days in Ready for Development, 7.78 days in Development, 14.45 days in the testing queue. Two more in Testing with similar patterns \u2014 14.05 and 13.33 days there.<\/p>\n

    All related test scenarios \u2014 items with identical timing across three stages. Related work, not independent flow.<\/p>\n

    And it gave the right question instead of the wrong advice. If these items must be tested together, current behavior is correct \u2014 it’s a coordinated release. If they could be tested independently, you’re delaying feedback by 14 days. Communicate accordingly either way.<\/p>\n

    The Rework Cycle<\/h2>\n

    \"[IMAGE:<\/a><\/p>\n

    And one more signal. One item \u2014 “2682 EX-4.3 Legacy installation (no licenseType) defaults to standard” \u2014 in Development for 26.32 days. The 85th percentile for Development is 3 days. This item is 8.7x over.<\/p>\n

    It’s the only item in Development, so it’s not blocking other work. But the investigation traced the item’s path: it moved to Ready for Testing (0.98 days) then returned to Development. A rework cycle. No blocker flagged in the system \u2014 either it’s stuck invisibly or scope changed mid-development.<\/p>\n

    Three possibilities identified: (1) actually blocked but not flagged, (2) scope expanded mid-development, (3) genuinely complex work that should have been broken down. The specific action: talk to whoever is working on it, surface any hidden blockers, and if it’s legitimately complex, consider splitting so something can ship sooner.<\/p>\n

    What You Walk Into the Room With<\/h2>\n

    Three insights. Three different problems \u2014 a deployment capacity constraint, related work waiting as a unit, and a rework cycle caught by tracing an item backward through the workflow. Each with specific next steps.<\/p>\n

    \"[IMAGE:<\/a><\/p>\n

    One dashboard. Before I’d looked at a single chart.<\/p>\n

    <\/div>\n

    This is what I’ve always wanted every coach to have when they walk into a leadership conversation. The evidence already assembled. The reasoning already traced. The actions already specific.<\/p>\n

    For every team. All of them. Every time the dashboard opens.<\/p>\n

    We built this into Nave. It’s live.<\/p>\n

    If you want to see what it finds on your own team’s data \u2014 get in touch<\/a>.<\/p>\n

    Learn more at getnave.com<\/a><\/p>\n

    Sonya<\/p>\n\n

    \n

    <\/p>\n<\/div><\/section>\n\n

    <\/div>
    <\/div>","protected":false},"excerpt":{"rendered":"

    I opened a dashboard in Nave. Before I’d looked at a single chart, this was waiting in the sidebar. Three insights. One marked URGENT. The Deployment Constraint Ready for Deployment is accumulating 24 items with no deployment capacity. That’s 63% of all work in progress \u2014 in a single queue. Work arrives at 1.53 items […]<\/p>\n","protected":false},"author":1,"featured_media":7574,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"yasr_overall_rating":0,"yasr_post_is_review":"","yasr_auto_insert_disabled":"","yasr_review_type":"","footnotes":""},"categories":[7],"tags":[1801,1809,1812,1813,1815,1800,1810,1814,1811],"class_list":["post-7566","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-project-management","tag-agile-coaching","tag-ai-insights","tag-bottleneck-analysis","tag-cycle-time","tag-delivery-management","tag-flow-metrics","tag-investigation-trail","tag-nave","tag-wip"],"acf":[],"yoast_head":"\nThree Problems Your Team Didn't Know It Had<\/title>\n<meta name=\"description\" content=\"Three insights waiting in the sidebar. One URGENT. 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