Engineering manager’s copilot in Slack
Your copilot for engineering management, advice, and meetings — in Slack. Connects to GitHub, GitLab, Bitbucket and Jira to surface team progress and blockers. Lead your team, not your tools. Ask questions. Get answers.
iftrue delivers task-linked daily check-ins in Slack (no meetings), auto-generates 1:1 talking points from activity data (shipped work, context switching, mentorship), and archives career narratives for performance reviews. This saves time, surfaces blockers early, and makes every 1:1 meaningful rather than scrambled.
iftrue provides before/after AI adoption comparison across all metrics (cycle time, velocity, bug ratio, DORA metrics), per-tool attribution (Copilot vs Cursor vs Claude), and team-by-team impact analysis. This lets engineering leaders prove AI tool value to leadership with hard data rather than guesswork, and identify which teams benefit most from AI coding assistants.
iftrue monitors sprints, PRs, AI code churn, and team capacity in real-time and sends Slack alerts when thresholds are crossed (e.g., sprint falling behind, PR waiting 2+ days, team focus fragmentation). Managers stay informed in their existing workflow and can intervene before small problems become crises.
iftrue auto-collects all five 2025 DORA metrics (deployment frequency, lead time, change failure rate, recovery time, rework rate) from GitHub/GitLab/Jira/Linear, benchmarks against Elite/High/Medium/Low performers, and provides AI-powered root cause analysis. This eliminates manual tracking and surfaces actionable insights like PR review bottlenecks or sprint misses before they compound.
iftrue tracks workload intensity, context switching frequency, and after-hours activity as leading burnout indicators, surfaces them in 1:1 prep, and runs quarterly DevEx surveys with AI Adoption dimension. Managers get early warnings and concrete talking points to intervene before resignation letters arrive.