Question 1

When should I use an online board to explain unexpected survey findings?

Accepted Answer

Use an online discussion board when a survey yields a puzzling or unexpected finding that numbers alone can't explain, and you need the participants' own words to clarify "why." An online board (a moderated forum or chat with selected respondents) is ideal for post-survey follow-up because it lets people reflect on the surprising result and have a conversation around it at their convenience. For example, if a survey shows a niche feature scored unexpectedly high interest, you could invite respondents to an online board to discuss what appealed to them about it - their stories might reveal a hidden need or misunderstanding. The asynchronous format is less rushed than a live focus group, so participants can provide thoughtful input. In short, whenever you have data that begs for context or hypotheses to unpack it, an online board is a timely, efficient way to get qualitative depth straight from the source of your survey data.

Question 2

When should we pivot, persevere, or park early propositions?

Accepted Answer

Deciding whether to pivot, persevere, or park an early proposition hinges on what early evidence reveals about its viability. If initial market feedback shows your concept's core assumption is flawed but suggests a promising alternative direction, that's a signal to pivot rather than persist on the wrong path. If you're seeing positive traction and data confirming your hypothesis, it makes sense to persevere and double down on development. However, if repeated tests and customer feedback show no real demand or insurmountable issues with the proposition, it's wise to park (pause or stop) the idea to avoid wasting resources. Setting clear decision criteria upfront (like minimum customer uptake or engagement targets) helps a team avoid pivoting too early or persevering for too long despite warning signs.

Question 3

What practices improve diversity in clinical trial participation?

Accepted Answer

Improving diversity in clinical trial participation starts with reducing barriers and building trust in underrepresented communities through deliberate outreach and inclusive trial design. Successful practices include partnering with local healthcare providers and community leaders to vouch for the trial's importance (overcoming historical skepticism), and making participation easier by offering flexible visit times, providing transportation or telehealth options, and using simple, translated materials for those with different languages or literacy levels. Trials can also employ staff or liaisons who reflect the target community and involve diverse patient advisory boards to help shape the study in culturally sensitive ways. By proactively addressing convenience, understanding, and trust, these efforts lead to a broader, more representative pool of trial participants and more generalizable results.

Question 4

How can I demonstrate ROI from packaging tests to R&D leaders?

Accepted Answer

To demonstrate ROI (Return on Investment) from packaging tests to R&D leaders, you need to link your test findings to concrete business outcomes - showing that the packaging changes driven by research led to higher sales, cost savings, or other measurable benefits. For example, if your packaging A/B test showed that a new design increases purchase intent by, say, 10%, you can project what that could mean in additional sales once the design is rolled out (e.g., a projected revenue lift of $X million annually). Likewise, if testing revealed a way to use a lighter or recycled material that cuts costs by 5% per unit without hurting consumer appeal, you can quantify the yearly savings in manufacturing and even factor in any boost to brand perception from a sustainability angle. Essentially, translate the test results into key performance indicators (units sold, reduced breakage rates, cost per package) and then into dollars saved or earned. By presenting packaging test outcomes in these terms - actionable changes that drove quantifiable improvements - R&D leaders will clearly see the return their investment in testing has yielded.

Question 5

When should influencer research complement brand lift studies?

Accepted Answer

Influencer research should complement brand lift studies whenever an influencer campaign plays a major role in shaping brand perceptions. If you rely on influencers to boost awareness or favorability, combining influencer-specific research with standard brand lift analysis shows exactly how those creators moved the needle. For example, a brand lift study might reveal increased purchase intent overall, and influencer research can pinpoint which influencer, content theme, or audience segment drove that lift. Conversely, if brand lift results are underwhelming, influencer-focused insights can reveal content or creator mismatches behind the shortfall. In short, when influencer marketing is a significant part of your strategy, adding dedicated research on influencer engagement and authenticity provides context for the numbers — explaining why certain brand metrics rose and ensuring you credit the right tactics for any positive shifts.

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Market Research FAQs with Expert Insights

When should I use an online board to explain unexpected survey findings?

When should we pivot, persevere, or park early propositions?

What practices improve diversity in clinical trial participation?

How can I demonstrate ROI from packaging tests to R&D leaders?

When should influencer research complement brand lift studies?