Abdelhamid Younis Portfolio
The video optimization web page is essentially the most used characteristic in Tubics, 79% of the time spent on Tubics customers try to optimize the meta information of their previous movies.
Role
UX/UI Designer & Researcher
UX/UI Designer & Researcher
Watch the characteristic announcement video 👀
Tubics is a video optimization and ideation instrument powered by information from YouTube API, what makes it very highly effective is the information pushed suggestions for titles, descriptions and tags. As properly as suggesting you new video concepts primarily based in your business, the app may even generate full script utilizing AI primarily based in your YouTube channel meta information
The undertaking began on Oct 2020, the primary launch of the video optimization web page was on Feb 2021. The purpose of the undertaking was
enhance usability and final result
introducing new suggestions ( thumbnail suggestions, tags, and suggest title).
encouraging customers to set a search time period for the video to provide them higher outcomes.
permitting collaboration and sharing. In most video companies that use the product there’s often 2 individuals optimizing the video.
This is the previous video optimization web page
Project Team and duties
Product proprietor: Matthias liable for the entire undertaking roadmap and the supply. He additionally gathered suggestions from prospects why they didn’t use the instrument.
Developers: There was 1 frontend and 1 backend developer, additionally an AI engineer who developed the advice algorithm.
UX/UI designer: I used to be liable for ideation, wireframes, validating concepts with the PO and the AI engineer, in addition to prototyping and consumer testing
Marketing: They did a great job selling the brand new characteristic, and managed the alpha launch to chose prospects whereas monitoring their utilization intently.
“Our customers desires fast wins, they wish to optimize their movies in 5 minutes with little effort, however our AI cannot generate good suggestions with out figuring out the video matter/ the search time period which the consumer wish to optimizw the video for. And most customers skip choosing a search time period for the video”
The undertaking workforce and the roles
The product proprietor was a YouTube advisor himself for 10 years, he helped alot within the ideation and he was getting me in touch along with his company prospects. He can be professional with analytics (mixpanel)
Me, as a product designer. I did buyer interviews, competitor evaluation, analysis, prototyping and monitored the outcomes after launch on Mixpanel
senior youtube advisor: helped in bettering the standard of the suggestions
Getting buyer suggestions:
We wished to know which softwares our customers usually use to optimize for search engine optimization usually. and what are their different issues with out present software program. For this we interviewed 4 professional customers who labored in YouTube companies for years and use Tubics.
I’m lacking Rich suggestions, give me examples and why do I want to do that. not simply inform me change the video title
that is an instance of Tubics suggestions at the moment
I’m utilizing grammarly professional, and usetopic content material optimization instrument, I would like a mixture of the benefit of use of grammarly, and the richness of use matter
Example from grammerly doc optimization web page
Example from use matter search engine optimization wealthy suggestion
I used TubeBuddy video optimization web page, it is vitally gradual, their recs are higher than Tubics however nonetheless not a lot useful
we considered how may we clear up these issues to attain the most effective final result for our prospects.
Without a search time period the AI cannot generate high quality suggestions for the customers. Selecting a search time period needs to be step one. and we have to justify for the consumer why do they should choose a search time period upfront by watching a video and figuring out what’s it about. Otherwise the YouTube API provides a listing of recommended search phrases which YT suppose the video is about it.
Just as simple as an API name. 😀
consumer first has to pick a search time period
Or choose a recommended one
We wished to provide our prospects high quality suggestions, but additionally inform them why they want to do that and present them examples.
We wish to give the customers steering, give them a step-by-step instruction on methods to repair their video content material. Grammarly does a great job on this, by displaying your present article on the fitting facet, and the grammarly suggestions on the left facet.
For the primary launch we wished to deal with serving to the shoppers getting extra views and subscribers via optimizing their video. Thus the standard of the meta information was a very powerful factor.
To obtain this we first we made this step-by-step video optimization course of, that begins first with selecting a excessive visitors search time period in order that the AI can provide our prospects the most effective suggestions.
1st web page: Select a search time period
choose a search time period to optimize your video metadata for. consumer can both choose one from the YT recommended search time period or manually seek for a search time period. After this consumer will probably be taken to the video optimization web page
2nd web page: Optimize the video search engine optimization
when you click on on the video title you will notice the corresponding suggestion on the left facet. on this case the consumer is attempting to edit the outline and is beneficial so as to add the video chapters to the outline
We did a figma protoype and examined it with 5 prospects in an unstructured consumer interview. We simply confirmed them the prototype and requested them to talk their thought loud. We put them in a state of affairs and requested them to optimize a video talking about “Winter holidays in Austria” and the suggestions was as follows.
“now it makes extra sense to me, and the video title examples are good”
“It is good that you just present me a listing of recommended search phrases, didnt know that youtube supply this feaure. now I could make a knowledge pushed choice primarily based on numbers”
“earlier than I publish this video, i wish to share it with a colleague of mine first”
“how can I revert my adjustments?”- by some means it was hiddent from the customers methods to undo their adjustments by clicking on the dropdown beside the save draft button to pick delete draft.
“how can I revert my adjustments?”- by some means it was hiddent from the customers methods to undo their adjustments by clicking on the dropdown beside the save draft button to pick delete draft.
“Sometimes I wish to seek for key phrases whereas modifying my video metadata, on this case I’m opening Google Adwords in one other tab, can be good if tubics recreation this characteristic”
“i dont wish to rewrite the video description everytime, all my movies descriptions have the identical template. can be good if their a option to create templates on tubics and entry them if wanted”
In this launch we included 3 different options primarily based on the suggestions we bought from the primary launch.
Feature 1: Sharing a draft with a colleague earlier than publishing. User can click on on this hyperlink icon to repeat the draft hyperlink to the clipboard. The icon itself won’t be very apparent so we made an onboarding tour with intercom to spotlight it as soon as the consumer lands on this web page
Feature 2: Search for key phrases whereas working in your video.
Feature3: add and import templates in your description.
What we discovered and subsequent steps:
With now the video optimization web page getting greater and having extra options, you will need to supply a special expertise for novice customers in comparison with professional customers. we discovered that solely the professional customers use the templates, and the key phrases search characteristic, additionally the draft characteristic. But personal regular customers didnt actually use this characteristic, and primarily based on a survey we launched to 200 customers via our app. Those customers didnt use these options as a result of they didnt want it truly. So the following step we did, is that within the onboarding we requested the consumer 4 inquiries to classify them to professional or novice customers and primarily based on this we present them 2 totally different views of the video optimization web page.
Bonus content material: Check Tubics’s touchdown web page prototype I constructed
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https://coda.io/@abdelhamid-younis/portfolio/tubics-video-optimization-tool-2021-12
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