Social Media Consumer Insight Plan
Budget: ₹12,500 – ₹37,500 INR
I have an upcoming product concept and need a data-driven partner to turn raw social media chatter into a clear product plan. My priority is product planning and development, and I want every decision grounded in consumer behavior analysis gathered directly from social platforms.
Here’s what I need:
• Collect and clean relevant conversations across key social channels (Twitter/X, Reddit, TikTok, Instagram—whichever communities are the richest for our audience).
• Identify recurring pain points, feature wishes, and sentiment trends, then quantify them so we can see which insights truly move the needle.
• Translate those findings into a concise product requirements document: proposed features, MVP scope, user stories, and a phased roadmap tied to measurable user outcomes.
• Supply a short slide deck or interactive dashboard (Tableau, Looker Studio, or similar) that visualizes the data trail from social insight to recommended feature.
Acceptance criteria
– Social data sources, collection window, and keyword strategy are clearly logged.
– Insight extraction method (topic modeling, clustering, or manual tagging) is reproducible.
– Final recommendations link back to specific consumer quotes or metrics.
If you’re experienced with social listening APIs, NLP, and product strategy workshops, I’d love to review a brief outline of your approach and a related work sample.
Here’s what I need:
• Collect and clean relevant conversations across key social channels (Twitter/X, Reddit, TikTok, Instagram—whichever communities are the richest for our audience).
• Identify recurring pain points, feature wishes, and sentiment trends, then quantify them so we can see which insights truly move the needle.
• Translate those findings into a concise product requirements document: proposed features, MVP scope, user stories, and a phased roadmap tied to measurable user outcomes.
• Supply a short slide deck or interactive dashboard (Tableau, Looker Studio, or similar) that visualizes the data trail from social insight to recommended feature.
Acceptance criteria
– Social data sources, collection window, and keyword strategy are clearly logged.
– Insight extraction method (topic modeling, clustering, or manual tagging) is reproducible.
– Final recommendations link back to specific consumer quotes or metrics.
If you’re experienced with social listening APIs, NLP, and product strategy workshops, I’d love to review a brief outline of your approach and a related work sample.