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Lynette Silva Heelan
Lynette Silva Heelan is International Practice Leader, Consulting at Workhuman, where she has spent nearly 20 years working directly with customers around the world to design and scale employee recognition programs.
Why "Thank You for All You Do" Is the Kiss of Death for Recognition
Lynette's sharpest rule of thumb: there's no such thing as too much recognition, as long as it's specific. The real danger is generic praise, and she calls "thank you for all you do" the kiss of death for good recognition, because it invites the reaction "do you even know what I do around here?" She's built a career on proving recognition's financial impact with client data, from Morgan Truck Body cutting turnover among desk-less frontline workers, to Zimmer Biomet doubling the percentage of employees giving recognition and, in turn, doubling program reach and predictability of award distribution. She also champions Workhuman's AI-assisted tools that coach specificity and impact into recognition messages and flag unconscious bias (such as praising someone for "working nights and weekends," which quietly rewards poor work-life balance) rather than ever letting AI write the recognition message itself.
Topics Lynette speaks on
- Why generic recognition ("thank you for all you do") backfires
- Proving recognition ROI with real client data
- AI as a recognition coach, not a recognition writer
- Catching unconscious bias in recognition language
- Peer-to-peer recognition as a culture and retention lever
Sessions with Achieve
Lynette is a featured presenter on the Achieve webcast "Optimize & Scale Recognition with Human Intelligence" (January 22, 2026), presented in partnership with Everest Group alongside Prachi Ahuja and Priyanka Mitra, both covered elsewhere in this project. In it, she shares client examples from Morgan Truck Body, Zimmer Biomet, Michelin, and Eaton showing recognition's direct link to retention, safety, and productivity, and describes Workhuman's AI-driven "advisor suite" that coaches specificity into messages and flags unconscious bias before it ships.
Connect
Want more on what the research actually says about scaling recognition intelligently? Learn more about the Achieve Leadership Network.
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