[productCategory] 혁신을 위한 소비자 감정 분석 촉진

1. Define the scope of [productCategory] to be analyzed for innovation potential based on consumer sentiment.
2. Collect data on consumer sentiment from various sources such as social media, customer reviews, and surveys related to [productCategory].
3. Utilize natural language processing (NLP) tools to analyze the collected data for emotional and subjective information.
4. Identify key themes and sentiments that emerge from the data, highlighting both positive and negative consumer feedback.
5. Map out the relationship between consumer sentiment and the phases of the consumer journey within [productCategory] to pinpoint where innovation can have the most impact.
6. Cross-reference the identified sentiments with current [productCategory] trends to uncover gaps in the market that represent opportunities for innovation.
7. Propose product or service innovations based on consumer needs, pain points, and desires uncovered through sentiment analysis.
8. Estimate the potential market impact and consumer adoption of the proposed innovations using predictive analytics.
9. Develop a strategic plan for implementing these innovations within [productCategory], considering time-to-market and scalability.
10. Create a feedback loop to continuously monitor consumer sentiment post-implementation, ensuring the innovations remain aligned with consumer expectations.