Leverage data and analytics to optimise engagement.
Whether assessing problem spaces, pre-planning for programme launch, or conducting post-mortem analysis on a programme in order to more-effectively spin up the next one, we help our partners collect and wield data to make effective decisions at every phase.
Need states include:
- Business case assessment – uncovering the hidden impact of engagement
- Programme modelling – understanding the potential impact of each engagement solution
- Programme improvement analysis – identifying what’s working, what’s not, and opportunities for programme improvement
- Attrition analysis – understanding the potential cost savings of a recognition programme
- Return on purpose – providing holistic assessment of events, training, and communications to drive engagement
- Segmentation analysis – to identify your best, worst, and highest potential customers
- Retention analysis – predicting employees who are most likely to leave
- Sentiment analysis – uncover recognition insights using machine learning to determine polarity, subjectivity scores, and emotions.
- Conversational AI – leverage a RAG model to extract hidden insights from participant comments.
- Benchmarking tools – assess programme performance through comparative analysis.
- Communication impact – track and measure client engagement to evaluate communication effectiveness.
- BI Assist Chatbot – enhance engagement with an open-source LLM-powered chatbot.
Addressing key issues with data.
Design
- Programme structure
- Programme modelling
Pre-programme analysis:
- What is the value of changing behaviours?
- Should segments of the target audience be motivated differently?
- How much will we spend on the proposed initiative?
Assess
- Programme engagement
- Programme performance
- Programme optimisation
Ongoing programme analysis:
- How does performance vary across segments?
- To what extent is the engagement solution driving targeted results?
Value
- Behaviour change
- Business impact
Post-programme analysis:
- What was the value of the programme?
- How effective was the rule structure, and what are areas of improvement?
- What behaviours/activities align with higher performance?
The metrics tell the story
100
Fortune 1000 companies using our decision sciences
$900M
improvement in business results last year, across all clients
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