{
  "schema_version": "1.0",
  "title": "Streamly",
  "report_url": "https://www.gatherhq.com/reports/concept-testing",
  "content_type": "illustrative_example",
  "description": "Three feature concepts tested with 1,000 Gen Z streaming users. Appeal, uniqueness, WTP, and predicted daily engagement.",
  "analysis_notes": "Published aggregates and report text only, not respondent-level records. Values retain their displayed precision. Do not infer counts, missing denominators, weights, confidence intervals or statistical significance. Multiple-response questions may total more than 100%. Fictional choice exercises are not observed purchases. Illustrative and simulated results are not surveys of real people. Read each chart question, notes and the report methodology before comparing results.",
  "coverage": {
    "scope": "Published page only. Linked external reports are separate publications.",
    "raw_respondent_data": false,
    "chart_extraction": "Recognized chart layouts only. Each figure also includes its published text; unrecognized layouts are marked text_only.",
    "table_extraction": "Published cells and spanning information; no inferred values."
  },
  "methodology": [
    "MethodologySample1,000 daily streaming users aged 16–28 who use at least 2 streaming platforms. Balanced by gender and age band. Full rotation of concept presentation order. Recruited to match Streamly's core ICP.Approach15-minute AI-moderated depth interviews combining quantitative scoring (appeal, uniqueness, WTP, and predicted usage on calibrated scales) with qualitative exploration (open-ended probes on emotional reactions, use-case imagination, and comparison to existing features). Each interview produces structured data and verbatim transcripts for thematic analysis."
  ],
  "published_text": "Illustrative report exampleFigures, quotes and sample sizes demonstrate the report format. They are not findings from actual interviews and should not be cited as research evidence.\nRead published Gather research ↗ Back to ReportsInterest · Concept Testing\nStreamly\nNew feature concept validation for social streaming\n3 concepts tested\nn = 1,000 · Ages 16–28\nDaily streaming users\nExecutive summary\nThree feature concepts were tested with 1,000 daily streaming users aged 16–28 to inform Streamly's H2 2026 product roadmap. Each respondent evaluated all three concepts in a rotated order during a 15-minute AI-moderated interview.\nWatch Parties 2.0 generated the highest raw appeal (82%) and predicted daily engagement (72%), confirming that social co-viewing remains the killer feature for Gen Z. However, willingness to pay as a premium add-on was moderate (45%).\nAI Mood Match showed the strongest premium conversion potential — 62% willingness to pay for a premium tier — with high uniqueness scores (78%). The recommendation is to ship Watch Parties 2.0 as a free engagement driver and position AI Mood Match as the premium differentiator.\nConcept scorecard\nWatch Parties 2.0\nSynchronized viewing with live audio rooms, reactions, and shared playlists. Up to 50 friends.\nHigh appeal, moderate WTP\nAppeal\n82%\nUniqueness\n58%\nWTP (Premium)\n45%\nDaily Use\n72%\nAI Mood Match\nAI recommends content based on your current mood, time of day, and social context. Learns over time.\nStrong uniqueness, drives premium\nAppeal\n71%\nUniqueness\n78%\nWTP (Premium)\n62%\nDaily Use\n68%\nCreator Collab Hub\nCo-create playlists, commentary tracks, and reaction videos directly within the app.\nNiche — creator segment only\nAppeal\n55%\nUniqueness\n65%\nWTP (Premium)\n38%\nDaily Use\n42%\nWhat users said\n\"Watch Parties is the reason I'd stay on Streamly instead of switching to something else. It's what makes the app social.\"— Female, 19, daily user\n\"The mood thing is actually genius. Sometimes I don't know what I want to watch — I just know I'm tired and need something chill.\"— Male, 22, daily user\n\"Creator Collab is cool but I'm not a creator. Maybe 10% of users would use this? It feels like a niche feature.\"— Female, 24, daily user\n\"If AI Mood Match actually worked — like really learned me — I'd pay for premium in a heartbeat. The current recommendations are trash.\"— Male, 17, daily user\nRecommendations\n01Ship Watch Parties 2.0 as a free, core feature\nIt drives the highest engagement and retention. Gating it behind premium would undermine Streamly's social positioning.\n02Position AI Mood Match as the premium differentiator\n62% WTP signals strong monetization potential. Invest in personalization quality — users explicitly said they'd pay if it 'actually worked.'\n03Deprioritize Creator Collab Hub for now\nAppeal is concentrated in the creator segment (~12% of users). Revisit when creator monetization becomes a strategic priority.\nMethodology\nSample\n1,000 daily streaming users aged 16–28 who use at least 2 streaming platforms. Balanced by gender and age band. Full rotation of concept presentation order. Recruited to match Streamly's core ICP.\nApproach\n15-minute AI-moderated depth interviews combining quantitative scoring (appeal, uniqueness, WTP, and predicted usage on calibrated scales) with qualitative exploration (open-ended probes on emotional reactions, use-case imagination, and comparison to existing features). Each interview produces structured data and verbatim transcripts for thematic analysis.\nValidate before you build\nGather delivers concept testing in 48 hours. Test more ideas, kill bad ones early, invest in winners.\nTalk to us\nExplore More Reports\nAwareness\nBrand Health Tracker\nAwareness\nAd Testing\nAwareness\nThought Leadership\nView all reports",
  "sections": [
    {
      "type": "p",
      "text": "Figures, quotes and sample sizes demonstrate the report format. They are not findings from actual interviews and should not be cited as research evidence."
    },
    {
      "type": "p",
      "text": "Interest · Concept Testing"
    },
    {
      "type": "h1",
      "text": "Streamly"
    },
    {
      "type": "p",
      "text": "New feature concept validation for social streaming"
    },
    {
      "type": "p",
      "text": "3 concepts tested"
    },
    {
      "type": "p",
      "text": "n = 1,000 · Ages 16–28"
    },
    {
      "type": "p",
      "text": "Daily streaming users"
    },
    {
      "type": "h2",
      "text": "Executive summary"
    },
    {
      "type": "p",
      "text": "Three feature concepts were tested with 1,000 daily streaming users aged 16–28 to inform Streamly's H2 2026 product roadmap. Each respondent evaluated all three concepts in a rotated order during a 15-minute AI-moderated interview."
    },
    {
      "type": "p",
      "text": "Watch Parties 2.0 generated the highest raw appeal (82%) and predicted daily engagement (72%), confirming that social co-viewing remains the killer feature for Gen Z. However, willingness to pay as a premium add-on was moderate (45%)."
    },
    {
      "type": "p",
      "text": "AI Mood Match showed the strongest premium conversion potential — 62% willingness to pay for a premium tier — with high uniqueness scores (78%). The recommendation is to ship Watch Parties 2.0 as a free engagement driver and position AI Mood Match as the premium differentiator."
    },
    {
      "type": "h2",
      "text": "Concept scorecard"
    },
    {
      "type": "h3",
      "text": "Watch Parties 2.0"
    },
    {
      "type": "p",
      "text": "Synchronized viewing with live audio rooms, reactions, and shared playlists. Up to 50 friends."
    },
    {
      "type": "p",
      "text": "Appeal"
    },
    {
      "type": "p",
      "text": "Uniqueness"
    },
    {
      "type": "p",
      "text": "WTP (Premium)"
    },
    {
      "type": "p",
      "text": "Daily Use"
    },
    {
      "type": "h3",
      "text": "AI Mood Match"
    },
    {
      "type": "p",
      "text": "AI recommends content based on your current mood, time of day, and social context. Learns over time."
    },
    {
      "type": "p",
      "text": "Appeal"
    },
    {
      "type": "p",
      "text": "Uniqueness"
    },
    {
      "type": "p",
      "text": "WTP (Premium)"
    },
    {
      "type": "p",
      "text": "Daily Use"
    },
    {
      "type": "h3",
      "text": "Creator Collab Hub"
    },
    {
      "type": "p",
      "text": "Co-create playlists, commentary tracks, and reaction videos directly within the app."
    },
    {
      "type": "p",
      "text": "Appeal"
    },
    {
      "type": "p",
      "text": "Uniqueness"
    },
    {
      "type": "p",
      "text": "WTP (Premium)"
    },
    {
      "type": "p",
      "text": "Daily Use"
    },
    {
      "type": "h2",
      "text": "What users said"
    },
    {
      "type": "blockquote",
      "text": "\"Watch Parties is the reason I'd stay on Streamly instead of switching to something else. It's what makes the app social.\""
    },
    {
      "type": "p",
      "text": "— Female, 19, daily user"
    },
    {
      "type": "blockquote",
      "text": "\"The mood thing is actually genius. Sometimes I don't know what I want to watch — I just know I'm tired and need something chill.\""
    },
    {
      "type": "p",
      "text": "— Male, 22, daily user"
    },
    {
      "type": "blockquote",
      "text": "\"Creator Collab is cool but I'm not a creator. Maybe 10% of users would use this? It feels like a niche feature.\""
    },
    {
      "type": "p",
      "text": "— Female, 24, daily user"
    },
    {
      "type": "blockquote",
      "text": "\"If AI Mood Match actually worked — like really learned me — I'd pay for premium in a heartbeat. The current recommendations are trash.\""
    },
    {
      "type": "p",
      "text": "— Male, 17, daily user"
    },
    {
      "type": "h2",
      "text": "Recommendations"
    },
    {
      "type": "h3",
      "text": "Ship Watch Parties 2.0 as a free, core feature"
    },
    {
      "type": "p",
      "text": "It drives the highest engagement and retention. Gating it behind premium would undermine Streamly's social positioning."
    },
    {
      "type": "h3",
      "text": "Position AI Mood Match as the premium differentiator"
    },
    {
      "type": "p",
      "text": "62% WTP signals strong monetization potential. Invest in personalization quality — users explicitly said they'd pay if it 'actually worked.'"
    },
    {
      "type": "h3",
      "text": "Deprioritize Creator Collab Hub for now"
    },
    {
      "type": "p",
      "text": "Appeal is concentrated in the creator segment (~12% of users). Revisit when creator monetization becomes a strategic priority."
    },
    {
      "type": "h2",
      "text": "Methodology"
    },
    {
      "type": "h3",
      "text": "Sample"
    },
    {
      "type": "p",
      "text": "1,000 daily streaming users aged 16–28 who use at least 2 streaming platforms. Balanced by gender and age band. Full rotation of concept presentation order. Recruited to match Streamly's core ICP."
    },
    {
      "type": "h3",
      "text": "Approach"
    },
    {
      "type": "p",
      "text": "15-minute AI-moderated depth interviews combining quantitative scoring (appeal, uniqueness, WTP, and predicted usage on calibrated scales) with qualitative exploration (open-ended probes on emotional reactions, use-case imagination, and comparison to existing features). Each interview produces structured data and verbatim transcripts for thematic analysis."
    },
    {
      "type": "h2",
      "text": "Validate before you build"
    },
    {
      "type": "p",
      "text": "Gather delivers concept testing in 48 hours. Test more ideas, kill bad ones early, invest in winners."
    },
    {
      "type": "p",
      "text": "Explore More Reports"
    },
    {
      "type": "p",
      "text": "Awareness"
    },
    {
      "type": "p",
      "text": "Brand Health Tracker"
    },
    {
      "type": "p",
      "text": "Awareness"
    },
    {
      "type": "p",
      "text": "Ad Testing"
    },
    {
      "type": "p",
      "text": "Awareness"
    },
    {
      "type": "p",
      "text": "Thought Leadership"
    }
  ],
  "figures": [],
  "tables": [],
  "metrics": [
    {
      "label": "Appeal",
      "display_value": "82%",
      "value": 82,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / Watch Parties 2.0"
    },
    {
      "label": "Uniqueness",
      "display_value": "58%",
      "value": 58,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / Watch Parties 2.0"
    },
    {
      "label": "WTP (Premium)",
      "display_value": "45%",
      "value": 45,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / Watch Parties 2.0"
    },
    {
      "label": "Daily Use",
      "display_value": "72%",
      "value": 72,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / Watch Parties 2.0"
    },
    {
      "label": "Appeal",
      "display_value": "71%",
      "value": 71,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / AI Mood Match"
    },
    {
      "label": "Uniqueness",
      "display_value": "78%",
      "value": 78,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / AI Mood Match"
    },
    {
      "label": "WTP (Premium)",
      "display_value": "62%",
      "value": 62,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / AI Mood Match"
    },
    {
      "label": "Daily Use",
      "display_value": "68%",
      "value": 68,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / AI Mood Match"
    },
    {
      "label": "Appeal",
      "display_value": "55%",
      "value": 55,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / Creator Collab Hub"
    },
    {
      "label": "Uniqueness",
      "display_value": "65%",
      "value": 65,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / Creator Collab Hub"
    },
    {
      "label": "WTP (Premium)",
      "display_value": "38%",
      "value": 38,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / Creator Collab Hub"
    },
    {
      "label": "Daily Use",
      "display_value": "42%",
      "value": 42,
      "unit": "percent",
      "denominator": null,
      "context": "Concept scorecard / Creator Collab Hub"
    }
  ],
  "metric_statements": [
    {
      "text": "Watch Parties 2.0 generated the highest raw appeal (82%) and predicted daily engagement (72%), confirming that social co-viewing remains the killer feature for Gen Z. However, willingness to pay as a premium add-on was moderate (45%).",
      "values": [
        {
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        {
          "value": 72,
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        },
        {
          "value": 45,
          "unit": "percent",
          "display_value": "45%"
        }
      ]
    },
    {
      "text": "AI Mood Match showed the strongest premium conversion potential — 62% willingness to pay for a premium tier — with high uniqueness scores (78%). The recommendation is to ship Watch Parties 2.0 as a free engagement driver and position AI Mood Match as the premium differentiator.",
      "values": [
        {
          "value": 62,
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          "display_value": "62%"
        },
        {
          "value": 78,
          "unit": "percent",
          "display_value": "78%"
        }
      ]
    },
    {
      "text": "62% WTP signals strong monetization potential. Invest in personalization quality — users explicitly said they'd pay if it 'actually worked.'",
      "values": [
        {
          "value": 62,
          "unit": "percent",
          "display_value": "62%"
        }
      ]
    },
    {
      "text": "Appeal is concentrated in the creator segment (~12% of users). Revisit when creator monetization becomes a strategic priority.",
      "values": [
        {
          "value": 12,
          "unit": "percent",
          "display_value": "12%"
        }
      ]
    }
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