ممارسة في الذكاء الاصطناعي الصناعي  ·  الخليج  ·  بالعربية والإنجليزية رد خلال يوم عمل واحد
Sentiment analytics

A Gulf fuel-retail operator

Energy / Retail · Gulf

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Too much arrives to check it all, so you sample

المشكلة

Product teams needed to understand mobile-store feedback without reading every review manually. App-store reviews arrive continuously and unstructured, mixing one-off complaints with the early signal of a real regression. Read manually, they get read when someone has time - which is rarely the week a release actually broke something, so the feedback loop closed too late to influence the release that caused the problem.

ما بنيناه

We built a service that collected App Store and Play Store feedback, classified sentiment, grouped related issues, and presented the trends through a dashboard.

ما تغيّر

المقياس قبل بعد
Lag from a review appearing to a grouped, scored issue reaching the product team ~3 weeks under 24 hours
Review coverage a read sample 100% of App Store and Play Store feedback
Differently-worded reviews correctly consolidated to one issue لا قياس سابق 87%

Lag from a review appearing to a grouped, scored issue reaching the product team

قبل ~3 weeks بعد under 24 hours

Differently-worded reviews correctly consolidated to one issue

87%

87%

Differently-worded reviews correctly consolidated to one issue

الحلقة هي كامل ذلك القياس. والقوس الرمادي هو الـ 13% المتبقية.

الأرقام من سجلات التنفيذ الخاصة بالممارسة للمشروع المذكور، مقيسةً مقابل العملية التي سبقته.

ما توقّف عليه

Grouping issues rather than scoring sentiment alone is what made the output actionable - a product team needs to know which specific thing twenty people are describing in twenty different ways, not that satisfaction moved. Relevant to any team whose release feedback currently arrives too late to act on.

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أيّ الأربعة هو مشكلتكم؟

أخبرونا بالمستندات والحجم الشهري وسنرسل أقرب سجلّين، مع الأرقام وراء كل منهما وما يلزم لتكرارها على موادكم.

يصلك الرد في غضون يوم عمل واحد، من المهندس الذي سينفّذ العمل.