Intent-Based Predictions

Here’s what we have accomplished so far with Predictions:

1. Exploratory User Research: Based on user feedback through various mediums, we built an initial hypothesis for the requirements of Intent Based Segments 2.0. To test this hypothesis, we interacted with eight customers and derived the updated set of product requirements.

2. UX Foundation Established: Designed the foundation and core structure for the new Predictions after exploring various design directions, multiple sprints of iterations, and collaboration with numerous stakeholders, including the Chief Product Officer at CleverTap.

3. Customer Demos and Feedback: After receiving sign-off from the CPO and Product Leads, we presented the vision and prototype to nine customers, gathering valuable feedback, including from some NPS detractors.

4. Dev Ready Designs: Addressed the feedback to refine the feature and prepared the designs for a smooth handover, including all necessary workflows and assets.

5. Currently: Transitioning the solution from design to engineering, facilitated by the product team. The backend, machine learning algorithms, and prediction models are ready, and we are initiating front-end architecture work. We aim to proceed to Private Beta by early Q3 2024.

Hear from our users who were presented with the design prototypes of the new Predictions feature:

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"The improved predictions are impressive and will be incredibly useful for our campaign planning."

Senior Marketing Manager, Nykaa

"The transparency in predictions gives us confidence in our marketing strategies, and the model's flexibility allows us to tailor the tool to our specific needs."​

Director of Marketing, BookMyShow

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"The user-friendly interface is a huge step forward. It's intuitive and easy to navigate, and the enhanced discoverability makes finding and using the predictive tools much easier."​

Growth Marketing Manager, Boutiqaat

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"The detailed insights provided by the new predictions model are game-changing for our engagement strategies, and the ability to quickly understand the reasoning behind predictions is incredibly valuable."​

Head of Marketing, Shahid.net

Here are the next steps, in no particular order for Predictions:

• User Feedback Sessions: Plan feedback sessions with customers in Private Beta by late Q3 2024, gather feedback, and prepare for General Availability by the end of CY 2024.

• Product Refinements: Designs for extreme edge cases need further refinement. Current UX content, including visuals and copy generated with Generative AI tools, will be polished by working with dedicated stakeholders.

• Design <> Dev Handoff Handshake: Maintain close collaboration with the engineering team to resolve queries and design for missing workflows with a swift turnaround time.

• User Training Materials: Develop comprehensive training materials, including explanatory videos using Generative AI, and conduct demo sessions to ensure users are well-versed in the refreshed experience.

• Frontend Basics: Began learning the basics of frontend coding - including JavaScript, Vue.js, and deployment of builds on local environments to enable quicker design QAs.

• Planning and Designing for the Big Vision: Gained experience in strategizing and leading research and design for a comprehensive vision for the upcoming AI-based features at CleverTap.

• Product Requirement Gathering: Learned how initial product requirements are gathered, hypotheses are framed, and tested to produce a PRD that records the end-to-end problem statement, enabling an efficient design and development phase.

• Pushing Design System to Max Limits: Learned how to push existing design guidelines, components, and frameworks to their maximum limits. Achieved designs by tweaking existing components instead of creating new ones, saving crucial time for delivery and market.