We're looking to deepen our ability to provide "contextual coaching" and have identified opportunities to integrate various data sources to achieve this. Our goal is to leverage a variety of data to gain insights that support informed decision-making and strategic advancements.
We currently have several data sets that we'd like to consolidate. These include:
Salesforce data captured during discovery calls.
Detailed notes and outcomes from onboarding calls.
Information gathered from quarterly business reviews (QBRs).
360 reviews and survey feedback.
The aim is to transform this data into an interconnected framework to extract actionable insights. By analyzing the integrated data, we can better understand our customer's needs, optimize service delivery, and anticipate future demands.
We also see a need to enhance the actual coaching experience by improving our ability to do contextual coaching. We want to offer bespoke coaching solutions that reflect and support a client’s current priorities rather than adhering to a generic model.
We aim to differentiate our coaching services by developing AI-driven, "contextual coaching" experiences. We intend to customize coaching to align with specific customer and organizational needs. We want to be able to tailor our coaching to be more relevant and impactful by integrating and analyzing diverse data points from customer interactions.
We're considering potential partnerships to overcome internal resource limitations and fast-track AI implementation.
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In Review
💡 How I'd like to use Storytell
8 months ago
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In Review
💡 How I'd like to use Storytell
8 months ago
Get notified by email when there are changes.