Low Fidelity

Low Fidelity

Low Fidelity

Community Insight

Overview

A Community Insight test provides a low-cost way to tap into existing conversations and uncover real-world demand signals for a new venture, product, or service. At Future Foundry, we use this method to analyse customer pain points, competitor gaps, and industry trends before launching formal validation tests. Instead of asking customers directly, we observe how they naturally discuss challenges and needs in forums like Reddit, LinkedIn groups, and industry communities. This allows us to capture authentic insights that aren’t influenced by structured surveys or company-led research.

A Community Insight test provides a low-cost way to tap into existing conversations and uncover real-world demand signals for a new venture, product, or service. At Future Foundry, we use this method to analyse customer pain points, competitor gaps, and industry trends before launching formal validation tests. Instead of asking customers directly, we observe how they naturally discuss challenges and needs in forums like Reddit, LinkedIn groups, and industry communities. This allows us to capture authentic insights that aren’t influenced by structured surveys or company-led research.

A Community Insight test provides a low-cost way to tap into existing conversations and uncover real-world demand signals for a new venture, product, or service. At Future Foundry, we use this method to analyse customer pain points, competitor gaps, and industry trends before launching formal validation tests. Instead of asking customers directly, we observe how they naturally discuss challenges and needs in forums like Reddit, LinkedIn groups, and industry communities. This allows us to capture authentic insights that aren’t influenced by structured surveys or company-led research.

Process

We start by identifying where customers naturally discuss relevant topics, whether that’s niche online communities, product review sites, or industry groups. We then analyse the most active discussions, looking for recurring pain points, common language used, and gaps in existing solutions. Once key themes emerge, we test engagement by posting discussion prompts, asking open-ended questions, or sharing early product concepts. The responses help us understand whether people are actively searching for solutions, how they perceive the problem, and what features or messaging resonate.

We start by identifying where customers naturally discuss relevant topics, whether that’s niche online communities, product review sites, or industry groups. We then analyse the most active discussions, looking for recurring pain points, common language used, and gaps in existing solutions. Once key themes emerge, we test engagement by posting discussion prompts, asking open-ended questions, or sharing early product concepts. The responses help us understand whether people are actively searching for solutions, how they perceive the problem, and what features or messaging resonate.

We start by identifying where customers naturally discuss relevant topics, whether that’s niche online communities, product review sites, or industry groups. We then analyse the most active discussions, looking for recurring pain points, common language used, and gaps in existing solutions. Once key themes emerge, we test engagement by posting discussion prompts, asking open-ended questions, or sharing early product concepts. The responses help us understand whether people are actively searching for solutions, how they perceive the problem, and what features or messaging resonate.

Requirements

This experiment requires access to high-quality industry forums, a structured approach to capturing insights, and a clear strategy for testing engagement without appearing overly promotional. It’s most effective as an early-stage demand validation tool, helping shape later, higher-fidelity experiments.

This experiment requires access to high-quality industry forums, a structured approach to capturing insights, and a clear strategy for testing engagement without appearing overly promotional. It’s most effective as an early-stage demand validation tool, helping shape later, higher-fidelity experiments.

This experiment requires access to high-quality industry forums, a structured approach to capturing insights, and a clear strategy for testing engagement without appearing overly promotional. It’s most effective as an early-stage demand validation tool, helping shape later, higher-fidelity experiments.

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