Survey Report - The Current State of Skill Data in Organizations
Brent Ross is Customer Success Manager at Ibbaka. See his skill profile here.
Earlier this year (2022), Ibbaka deployed a survey to understand how leaders are gathering and using skill data in their organizations. Here, we introduce some of the findings from our report and analysis on our results.
Our main objective was to understand the types of goals that leaders have for leveraging skill data, as well as to understand methods, who is responsible for gathering and analyzing the data, what’s hard about gathering and analyzing skill data and other related issues.
We analyzed 67 responses from a mix of operational leaders, HR professionals and senior leaders. We learned that many organizations regardless of size are taking their first steps toward gathering, aggregating and analyzing skill data. Aggregating and analyzing skill data was the most prominent challenge among our respondents.
One possible reason for this is that most of the leaders we surveyed do not yet seem to have a system of record for skill data in their organizations. Implementing a system of record factored prominently into near-term priorities for improvement, for most organizations in our sample.
In our conclusions from the data, we explore the implications of using skill data to improve talent mobility, data governance and ownership. One such conclusion we’ve drawn from a combination of the survey data in conjunction with interview data we’ve analyzed is that operational leaders are increasingly responsible for closing skill gaps. Because of the myriad time pressures on these frontline managers, any aggregating of skill data needs to help prioritize skill gaps for any one individual, a role, or a set of roles.
We hope you’ll find the data and our analysis useful as you navigate you chart a course to your own skill-centric organization. If you have questions, or wish to talk with us more about skill management, role coverage or skill gap analysis, please contact us.
Core Concepts: Skill Management and Competency Modelling
Coming soon …
Skill Assessment
Skill Management
Core Concepts: Pricing and Customer Value Management
Coming soon …
Economic Value Driver
Emotional Value Driver
Community Value Driver
Value Model
Pricing Model
Connecting Value and Pricing Models
Pricing Design
Package Design
Price Elasticity of Demand
Cross Price Elasticity
Interactions of Cross Price Elasticity and Price Elasticity of Demand
Value Based Market Segmentation
Value Path
Lifetime Value of a Customer (LTV)
Value to Customer (V2C)
Value Ratio
Economic Value Estimation (EVE)
Willingness to Pay (WTP)
Pocket Price Waterfall
Customer Value Journey
Customer Value Management
