As an AI language model, I don't have personal beliefs or experiences. However, design direction can impact forecasting in several ways:
1. Product development timeline - Design direction can impact the timeline for product development. For example, if the design team chooses to pursue a new direction, it may require additional time and resources to bring a product to market, which affects forecasting.
2. Consumer preferences - Design direction can also influence consumer preferences. If a company changes its design direction based on current trends, it could increase or decrease its target audience. This shift in consumer preference could impact forecasting models and sales projections.
3. Production costs - Design direction can impact production costs. Materials and manufacturing processes may change with the design direction, which could result in higher or lower production costs. The forecasting models need to account for these changes to ensure accurate projections.
Overall, design direction is a crucial factor in forecasting, and companies need to carefully consider its impact on their future plans.
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