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AI DevelopersGlobal Fractional SolutionsFractional CHROEcommerce TalentEORs · Philippines & Egypt

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Real outcomes other companies already got — what was delivered, who it was for, and which solution did it.

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Showing outcomes forGrammarlyShow all companies again

1 business case for Grammarly

  • GrammarlyGrammarlyThe customer this was delivered for.
    Saved 1 Morning Per Bi-Monthly Cycle With Self-Serve Recruiting Dashboards

    Key results

    • 1 morning saved per bi-monthly reporting cycle

    Grammarly’s recruiting leadership lacked the top-of-funnel data needed to iterate on sourcers’ volume and the quality of their reachouts. TA leaders spent hours cobbling together basic metrics for ops and executive meetings. Without granular funnel data, it was difficult to identify issues, prioritize them, and bring them to executives or functional leaders to pivot. The team sometimes made decisions based on gut instinct or anecdote. The team implemented an analytics and dashboard solution to centralize full-funnel recruiting data and outreach performance. Leadership used outreach activity and stats to manage top-of-funnel performance, while individual recruiters monitored their own outreach effectiveness and funnels. Executives used high-level dashboard views to self-serve recruiting metrics instead of relying on manually compiled reports. Recruiting leaders also used the system to drill down by department, hiring manager, candidate demographics, location, gender, and source. The implementation saved Andon hours of data collection and made certain bi-monthly meetings unnecessary because executives could self-serve the metrics. Leadership used real-time funnel visibility to preemptively observe issues, assess urgency, and optimize before problems escalated. The team improved data integrity by catching unlabeled fields early and coaching recruiters to input cleaner data, including more actionable offer-decline reasons. Overall, decisions shifted from perception-driven to being based on reliable, real-time recruiting data.

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