Dualwire turns scattered signals — surveys, git, CI, incidents, on-call, and issue flow — into three clear lens scores: an Engineering Effectiveness Index (DevEx + OpsEx) and a Product Effectiveness Index beside it.
Outcomes tell you whether things are good. Drivers tell you why — and what to fix.
Each driver carries a survey signal and a telemetry signal, combined with a tunable weight. Missing one source? The driver still scores on what's available.
0–100 indices per team, weighted by team type (product, platform, SRE) so a delivery squad and a reliability team compare fairly — with peer percentiles.
Open a wave, share anonymous single-use links, and close it to publish team averages — with per-question distributions, spread, participation, and comments.
A prioritized feed — low drivers, declining trends, high toil, after-hours on-call, error-budget burn, noisy alerts, and DevEx/OpsEx imbalance.
Opt in to contribute anonymized, minimized aggregates and pull real peer distributions back — k-anonymous and signed. Off by default, always previewable.
Every ingestion and closed survey cycle appends a snapshot, so you watch the lenses move and catch regressions before they become attrition.
Org EEI with the DevEx/OpsEx split, PEI beside it, DORA rollup, teams ranked, and priority insights.
Flow outcomes — flow time, throughput, WIP, roadmap hit-rate — and the product drivers, weakest first.
Per-team DevEx driver breakdown with perceptual-vs-system detail, repositories, and "what to fix next."
Toil, on-call load, incident economics, and reliability front and center.
Admins configure each source per company; credentials are encrypted at rest and never shown again.
Sources can be scoped per team — which repos, Jira projects, or Linear teams each squad owns. See all integrations →
Dualwire Core is Apache-2.0 and self-hostable as a single container. Explore with sample data, connect your tools, and keep every byte on your own infrastructure.