Plandek

Founded by Charles Ponsonby & Daniel Lee in 2017

Track engineering team productivity and measure AI adoption impact across your SDLC

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Plandek to get visibility into how your engineering teams work, where effort is wasted, and how AI tools are actually being used. It pulls data from your existing DevOps toolchain and developer surveys to show delivery speed, quality, sprint accuracy, and workflow bottlenecks. Engineering managers can identify blockers, technology leaders can report productivity metrics to leadership, and team leads can track sprint and epic progress. It also includes frameworks for improving productivity and adopting AI safely.

What Plandek does

Connect DevOps tools like Jira, GitHub, and GitLab to pull delivery data automaticallyRun developer surveys to capture how engineers feel about their workflowView cycle time, deployment frequency, and lead time metrics on a single dashboardTrack which AI coding tools are being adopted and whether they change outputGenerate leadership-ready reports showing engineering productivity benchmarksIdentify workflow stages where work gets stuck most oftenSet team-level productivity goals aligned to business KPIsMonitor sprint accuracy and epic completion rates over timeProductivityRadar dashboard shows how engineering teams compare using benchmarked dataDetects which AI coding tools developers are actually using and how oftenCombines DevOps tool data with developer surveys to show both metrics and sentimentTracks flow metrics like cycle time, deployment frequency, and sprint accuracy in one viewRACER framework guides teams through AI adoption steps with measurable checkpointsAssigns a dedicated expert to each customer account to guide adoption and improvementForecasts delivery timelines and identifies bottlenecks before they cause delaysGenerates board-ready reports linking engineering output to business outcomes