We currently do not distinguish between "nice to have", "blocker", and "this will likely cause a downgrade/churn/prevent upsell." One customer may view Feature ABC as nice to have, whereas another customer desperately needs it.unt of time necessary to collect this information, transfer it, and then disseminate it on the other side is likely to be inefficient and error prone. It also does not solve the problem of a standardized model for determining relative priority across all stages based on quantifiable data such as impact to IACV
We are currently proposing that we establish a highly manual process where individuals will act as bridges to transfer information across departments. The amoor ARR.
We are not leveraging our existing data to the fullest extent. Let's understand why and solve for this.
Create a standardized prioritization framework based on quantifiable data that enables us to determine urgency/value per issue/epic at scale and speed so that Product, Sales, and Customer Success can use a common language and model when discussing prioritization trade-offs.
Product DRIs have more accurate inputs to help them globally optimize their delivery backlogs resulting in increased customer retention and acquisition.
Positively impact IACV growth and improve retention of existing ARR.
Improve the accuracy of the prioritization feedback among departments.
Further operationalize the process of creating effective bridges between Customer Success, Sales, and Product.
TBD (Working Group will determine during first meeting)
TL;DR: Once validated, we drive adoption across Product/CS/Sales and collect measurements to confirm that this model is producing the desired business outcomes. If not, decide to go back to Step 1 or Exit.
Meetings are recorded and available on
YouTube in the Working Group - Issue Prioritization Framework playlist. Due to the subject matter of this working group and the high probability that every syncronous meeting will discuss sensitive customer information, the playlist is private and accessible by GitLab team members only.
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