VERONIKA ONDROVÁ
CV CONTACT

SELECTED WORK

STRATEGY & PROGRAMMES

Following the signal from complexity to direction.

I turn fragmented learning and operational problems into connected programmes, clearer decisions and systems that can evolve over time.

  1. 01LEARNING PRODUCT STRATEGY & ADOPTION

    WHEN CONTENT BECAME A JOURNEY

    A targeted learning-path pilot grew into a connected product experience that helped suppliers understand what to learn now and what to do next.

    PROBLEM
    Training existed as separate pieces and stopped helping when the work became more complex.
    EVIDENCE
    Supplier research confirmed demand for recommended paths; after launch, learning traffic increased by 130.3% YoY.
    DECISION
    I turned the pilot into a connected experience with recommendations, visible progress and meaningful next steps.
    FOLLOW THIS SIGNAL

  2. 02OPERATIONAL EXCELLENCE

    WHEN A LEARNING PROBLEM REVEALED A SYSTEMS PROBLEM

    A request for learning exposed several conflicting interpretations of the same catalogue task across teams and regions.

    PROBLEM
    The same question produced different answers depending on who was asked.
    EVIDENCE
    Research across the US and ten EU countries revealed inconsistent definitions and processes.
    DECISION
    I designed scenario-based guidance and escalated the wider ownership and governance gap.

    SIGNAL PENDINGCASE STUDY IN DEVELOPMENT

  3. 03LEARNING ECOSYSTEM & PRODUCT STRATEGY

    WHEN TRAINING BECAME AN ECOSYSTEM

    A learning programme measured mainly through adoption evolved into a broader model for understanding whether education was useful and effective.

    PROBLEM
    Adoption showed whether people found training, but not whether it was relevant or helped them progress.
    EVIDENCE
    Programme data revealed gaps before training started and after users entered the content.
    DECISION
    I designed a model based on relevance, discoverability, engagement and impact.

    SIGNAL PENDINGCASE STUDY IN DEVELOPMENT

  4. 04CONTENT GOVERNANCE & PRIORITISATION

    WHEN A ONE-OFF RECOVERY BECAME A REPEATABLE SYSTEM

    A manual content refresh became a repeatable way to decide which learning required attention first and how the work should be managed.

    PROBLEM
    The first recovery improved freshness quickly but depended on intensive manual effort.
    EVIDENCE
    The pilot moved freshness from 0% to 68%; the streamlined approach later moved it from 69% to 82%.
    DECISION
    I built prioritisation into content intake and moved the roadmap into Workfront.

    SIGNAL PENDINGCASE STUDY IN DEVELOPMENT

  5. 05LEARNING ANALYTICS

    WHEN THE LEARNING JOURNEY BROKE

    A deeper analysis examined what happened between seeing a learning opportunity, starting it and completing it.

    PROBLEM
    Traffic was increasing, but learners were not completing more training on average.
    EVIDENCE
    Page impressions, not-started training and in-content drop-off showed where interest disappeared.
    DECISION
    I used the findings to prioritise personalisation, progress visibility and stronger engagement features.

    SIGNAL PENDINGCASE STUDY IN DEVELOPMENT