Better data means better decisions
The user-driven, interactive, candidate experience not only benefits your users but also delivers high-quality engagement data. Machine-learning enables us to turn this data into real-time actionable insights.
Data generation
User-driven interactions
Unlike traditional systems, Hollaroo enables the user to choose how and when to engage.
And when they do engage there is a wide range of activities to choose from.
This generates very high quality data on your users and their behaviours.
Temporal variation
Tracking changes over time
As we are building long-term relationships with user we can also monitor how behaviours change over time.
Variations from a baseline are much more accurate than simply taking a snapshot of the user at any point in time.
Data from outcomes
Tracking the important results
As well as engagement activities we also track the important outcomes. Does someone apply for a role, withdraw from a process or make a recommendation?
This can be combined with data from other tools and processes, such as assessment platforms, external sources of data or quality feedback.
Machine learning
Where the magic happens
All of the data is used by our ML engine to train the system on what behaviours lead to what outcomes.
As well as enabling predictions of behaviours this also allows measurement of the impact of specific activities and campaigns.
The model is continuously updated and improved with each piece of new data.
Actionable insights
The outputs from the analytics model deliver actionable insights that enable you to make better decisions.
For example:
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Ready-to-hire talent
Which candidates are engaged and ready to hire, enabling you to focus your resources on the right people.
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Marketing decisions
Real-time feedback on whether a new role is likely to be filled via your pipeline. Enabling you to make informed decisions on whether to advertise externally.
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Pipeline quality
Matching your role-specific pipelines to future requirements, building confidence with your hiring managers and guiding your marketing.
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Better quality applications
Targeting the best candidates, based on real data and not just their CV, and guiding them to the best outcomes.
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Maintaining engagement
Learning from behaviours about what works for individual users, and tailoring the experience to build and maintain their interest.
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Encouraging introductions
Focusing on quality and alignment of introduced candidates rather than simple volumes.
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Confidence in new starters
Are your onboarders ready to perform on day one? Have they the tools, knowledge and connections to succeed?
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Who is at-risk?
Who are the people that are at danger of withdrawing? Can we engage with them differently to mitigate the risk?
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Campaign effectiveness
At a granular level, what is the impact of your messaging and activity on your audience? Capturing data pre-application, so you have a complete picture rather than a limited view.
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Impact on diversity
Tracking the impact of your campaigns, processes and interactions on people from all backgrounds. Building understanding from the very first time they touch your brand.
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Early careers
Success in early careers is built not just from gaining knowledge but also the social capital that is being acquired. Visibility of this gives early warning of risks and challenges.
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Access to learning
Focus your learning and development activities in the right areas, based on understanding people's aspirations and the impacts they will have.