#generative AI
#humanresources
#work-culture
To craft truly delightful conversations for Engaze, I focused on a few key areas. First, building a robust understanding of the specific organisation was crucial, with a prioritised set of use-cases for an MLP.
The pace of Gen AI evolution and the dire need of solving users' problems with lowest turn-around time, made us shift our thinking beyond the generic design process towards a more flexible, agile, and experimental approach.
We adopted an organic design approach where we could be more proactively prepared towards unforeseen variables.
To craft truly delightful conversations for Engaze, I focused on a few key areas. First, building a robust understanding of employee needs, their work responsibilities, tasks and challenges. Embodiment of these insights together resulted in shaping up these archetypes -
3 - Layered Design Strategy
To craft truly delightful conversations for Engaze, I focused on a few key areas. First, building a robust understanding of the specific organisation was crucial.
Next, we worked on honing the emotional intelligence. By implementing sentiment analysis, the bot can pick up on an employee's tone, frustration, or excitement. This enables the bot to tailor the responses - offering empathy when needed, or a touch of humour to lighten the mood. In summary, these are the secrets of creating a truly human bot -
Deep Organisation Knowledge: Trained on internal data for relevant & contextual answers. (Speaks the company language!)
Emotional Intelligence: Uses sentiment analysis to adjust tone (empathy or humor) based on user mood. (Reads between the lines!)
Creative Responder: Leverages pre-trained LLMs for informative & engaging answers beyond yes/no. (More than just a question-answering machine!)
Natural Conversation Flow: Dialogue management keeps things smooth & avoids repetitive answers. (No more robotic loops!)
Engaze = Your delightful & engaging teammate, ready to answer & connect!
Since we took an augmentation based approach that incorporates both traditional AI and generative AI seamlessly. This required us to draw and design dialogue flows for happy path scenarios, the deviations will be handled by the generative layer.
Post evaluating around 45+ conversational and Gen AI applications across industries, we realised that Gen-AI interfaces are embracing a futuristic aesthetic. Bold color choices like purple and blue gradients are in, alongside dark modes for a sleek and user-friendly experience. There will be many other design options with AI elements subtly integrated using visual cues and effects to enhance the user experience.
Key Highlights
Key Learnings
💪 Working on an experimental and rapid prototyping provided an edge to iterate faster while collaborating in sync with all the other strategic layers.
📱Led the direction for design and enabled the team to grow faster in conversational design space.
🤝 In all Gen-AI integrations, its imperative to work pretty close with development and data science teams. This clarified design scope further.
🎯 The designs got a lot of love during usability testing and validation stages. We're constantly churning out the future iterations while ensuring that we align to the human-centric design philosophy.
