The Problem: Data quality
is at an all-time low.
Client-side researchers:
76%
had serious doubts about quality at least once in the past 6 months
(GRIT report, 2024).
75%
had to address doubts about quality with their internal clients at least once in the past 6 months (GRIT report, 2024).
Research agencies:
65%
had serious doubts about quality at least once in the past 6 months
(GRIT report, 2024).
67%
had to address doubts about quality with their clients at least once in
the past 6 months
(GRIT report, 2024).
You're paying a high price for poor-quality data. You might just not realize how much.
Poor business outcomes
27% of client-side researchers say they’ve linked a poor business decision to poor-quality data at least once in the past six months (GRIT, 2024).
Financial
setbacks
Beyond the obvious costs of wasted resources and delays, poor-quality data also leads to rework, client refunds, heightened scrutiny in the future, etc.
Wasted
resources
Repeated data cleaning, returning to fieldwork, reconciliation of rejected completes with sample providers, constantly second-guessing data during analysis, etc.
Reputational
damage
Loss of credibility, difficulty retaining clients, missed upsell opportunities, negative word-of-mouth, etc.
Delays
Having to collect extra respondents to compensate for expected removals, returning to fieldwork, performing additional rounds of data cleaning after data collection, etc.
Erosion of
employee morale
Frustration over wasted resources, stress and anxiety from delays, paranoia during analysis, loss of purpose when working with data you don’t trust, etc.
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