DEAL MODELING CONCEPTS (McKESSON)
Q4 2023
The project team is preparing to solicit vendor bids to modernize the Deal Modeling process, with several AI-driven feature ideas in consideration.
Process
Discover
Our Design Lead, Jung, took the lead on this effort, handling much of the heavy lifting. I supported by taking detailed notes during interviews and contributing to the debriefs afterward. We began with the Analysts as our starting point and traced the touchpoints across their workflow. This process allowed us to map their journey, uncovering key needs and pain points along the way. It also identified the key stakeholders they collaborated with.
Insights
Key insights included: the need for deal transparency at all modeling stages, analysts spending excessive time on manual data tasks (with automation offering a productivity boost), and underutilized customer knowledge resources that need to be unlocked.
Innovation Opportunities
Armed with key insights, we organized a design jam with fellow designers to spark creativity. The outcome was a list of innovative ideas and features, which later informed project leadership and guided them throughout the RFP process.
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Lessons
In the discovery phase, opportunities for innovation was plentiful sometimes right in front of you. For example, Sales rep are sitting on valuable historical data that’s not being leveraged. Additionally, Analyst are spending 80% of their time on data prep instead of the actual work. Imagine the impact if their capacity is increased.
The concepts provided helpful guidance to the leadership during the RFP process.