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Improving experience of finding jobs relevant to profile

We created user journey mappings, of how a potential job applicant visits a particular company website to apply for jobs.Since applying trough company websites are daunting task, here product architecture was designed in such a way that a candidate can apply for jobs in fewer number of steps and at the same time the product helps the user to explore different career paths using online career modeler tool.

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After generating product architecture flow 

different iterations of wire framing were produced to make quick heuristic evaluations

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Hi fidelity Iteration Prototype 1

Whats new?

Based on the CV, search engine renders 3 job categories.

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Best fit jobs

These are the job openings that fit best to the candidate, according to the inputs collected from his uploaded CV

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Near fit jobs

These are the jobs that the candidate can apply, by learning some additional small skills.These skills can be added to his learning module.

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Future fit jobs

By the use of Machine learning and NLP the search engine renders job search results which are relevant to the applicant career profile. The candidate will be shown the areas, where he need to improve his skill or learn new one.

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The candidate skill learning progress will be tracked and he will be notified when he has completed his learning module or when similar future ready jobs have opening next time. 

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Top Demand jobs

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Shows curated list of job results which  are in demand according to the market needs in different sector or domains

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Trending jobs

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Sho​ws the job list which are most searched or browsed in the job portal website.

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Hi fidelity Iteration Prototype 2

Since the curated job results for best fit,Near Fit & future fit will be in a few in quantity because its a curated list, It was decided that Showing these jobs as  horizontal card scroll will make more sense.

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Each cards now contains the following.

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Job Title

Job function

Location

skills & competency required for the job

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It is quicker to go through Horizontal scroll cards which are limited in quantity and searching amongst such cards are not  boring unlike other websites

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Hi fidelity Iteration Prototype 3

It was later decided to incorporate a chatbot inside the job application website and after fixing some usability flaws in iteration 2. A new iteration flow was made to the candidate application flow.

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The new improved candidate job application flow is now having a chatbot which can prompt the user to signup just by chatting, this gives the user the ability to track their application status.

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Also the chatbot can upload the user CV and ask questions to the applicant to fill the gaps of data which are not mentioned in the CV.

Use Scenario - When clicked on a particular job card a pop up opens giving all the details of  job application in form of different tabs

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Overview > Skills > A day at work > About us > Apply

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Skills tab

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If the user dosent have certain skills which are required at the time of  job application, he can add it to his learning module (which he can do from the skills tab). Videos and learning material related to his missing skills are then provided to him in the learnings page.

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Chat window

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The newly incorporated chat window was incorporated in the job portal window Displayed on the right hand side of the screen.

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It takes missing data form user to provide relevant job search results

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Search results in list view

In this new iteration If the candidate searches for a job, specific to his needs, then a list view is displayed by the search engine matching the keywords. 

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A similar Pop up appears when a particular list view job card is clicked,

showing the following

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Overview > Skills > A day at work > About us > Apply

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Filters in long list view

The candidates job search can be filtered based on Location,Job Title, Department,Experience, Position type etc.

© 2022 Swapnil Ghutke

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