hr_ops · healthcare · workflow
Weave uses Lattice AI to save 30 hours per engagement survey and achieve a 95% eNPS increase
Weave's rapid growth and leadership changes drove employee retention problems and a lack of clarity around career development. The small People team spent hours manually analyzing qualitative engagement survey comments, and managers needed structured support to take ownership of team development.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Engagement survey submission
Employee engagement surveys surface concerns about management, career development, and the overall employee experience.
Tools used
LatticeLattice AILattice Grow
Outcome
Lattice AI saved Weave's HR team around 30 hours per engagement survey and brought consistency to analysis. The platform helped achieve a 95% increase in eNPS scores, decreased attrition, and the company now averages around 30 internal hires each quarter.
Results
Time savedaround 30 hours per survey
Volume95%
Grounding & classification
Source type: vendor customer story
22 fields verified against source quotes, 1 dropped as unverifiable.
sentiment analysissummarizationform submissionhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwareemployee productivitytime savedvendor customer storyhr opsai draft human approvalextract classify route