Know your market before it moves

A focused discovery sprint runs about 3 weeks; a full multi-method study typically takes 6–8 weeks. Timelines depend on sample size, audience accessibility, and method mix. We agree to the schedule in writing before fielding starts, and most of our studies land on or ahead of it.

Secondary research uses existing data—reports, market databases, competitor websites, and analytics. Primary research collects new data—surveys, interviews, panels—directly from your audience. We start with secondary to frame the question cheaply, then run primary where the answer actually lives.

Small businesses usually start with our Discovery Sprint at ₹49,999—one question, a survey plus interviews, and a decision brief in about three weeks. If your question is smaller still, we can scope a mini-study; if it's bigger, we'll tell you before you spend a rupee.

It depends on your population, the effect size you want to detect, and how finely you'll segment. For most business decisions, 200–400 completes per segment at 95% confidence is a solid target; smaller samples work when the question is broad and the stakes are moderate. We compute the sample plan before fielding—and we tell you when a number isn't defensible.

Yes—that's one of the highest-ROI uses. We run willingness-to-pay and elasticity studies using choice-based methods (van Westendorp, price sensitivity meters, and discrete choice) to map demand at each price point and find the curve's sweet spot before you commit to a launch price.

We start with market sizing (TAM/SAM/SOM) and a competitor landscape, then field demand and willingness-to-buy research with the target market's buyers. You get entry strategy inputs: which segments to enter first, what price holds, and which messaging resonates—plus the risks that would sink a naive launch.

Quantitative research measures—surveys and panels—produce numbers you can test statistically. Qualitative research explains. Interviews and focus groups uncover the why behind the numbers. Strong studies use both: quantitative to size the opportunity and qualitative to understand the driver.

Bias is engineered out, not wished away: neutral wording, balanced scales, randomized answer order, pretested instruments, and samples recruited to reflect the audience—the not easiest respondents to reach. We also run quality checks on responses (speeders, straight-liners, duplicates) before analysis.

Yes—and it's completely legitimate. Competitive intelligence uses public sources: their websites, pricing pages, reviews, job posts, ad archives, and customer feedback. We also interview their customers (with consent) to understand what wins and loses deals. Nothing covert, nothing that touches their systems.

Three ways: avoided cost (mistakes the research prevented), decision quality (pricing, positioning, or targeting changes backed by evidence), and outcome tracking—we agree on the success metric before fielding and check it at 90 days, so ROI is measured, not asserted.

Absolutely — and we prefer it. Your analytics, CRM, and support logs are behavioral truth; research adds the why. We layer survey and interview findings over your existing data to segment customers by behavior and attitude together, which produces far sharper segments than either source alone.

A decision brief (the findings and what to do about them); a methodology appendix (sample, instruments, significance—fully auditable); the raw dataset and questionnaire; a live dashboard, where applicable; and a debrief workshop. You own everything; nothing is locked behind our tools.