Market research data collection and analytics

Research data your clients can defend.

From survey programming and quality-screened fielding to crosstabs with significance testing, coded open-ends, live dashboards and index scoring. One partner, end to end, with 30+ years of market research behind every deliverable.

30+years in market research
25+years leading research teams
100%of rejections billing-defensible
Fielding trackerLive fielding
Completed live interviews
0
of 150 contracted · quality-screened
92%accept rate
11:42median LOI
7flags in review
Recent studies delivered for
Services

Everything between the questionnaire and the boardroom.

Hire one piece or the whole pipeline. Each stage is built to the same standard: traceable numbers, documented decisions, and deliverables a research lead can put in front of a client without a second read.

Survey programming and fielding

Instrument design review, programming on Voxco and comparable platforms, vendor and panel management, and soft-launch relaunch discipline after any instrument change.

  • Screener hardening and quota design
  • Pre-test, soft launch, full release
  • Vendor redirect and UID piping verification
  • Executive and B2B sample strategies

Field QC and vendor reconciliation

Every complete is checked, not sampled. Speeders, straight-liners, duplicate devices, junk verbatims and out-of-population respondents are removed with a documented, billing-defensible cause.

  • Duration, pattern and verbatim screens
  • Duplicate-IP cluster investigation
  • Cross-wave contamination checks
  • Reconciliation file that lands on contracted n

Marginals and crosstabs

Hyperlinked marginals workbooks and two-book crosstabs (percentages plus frequencies with significance testing) against a banner your research lead approves before anything is built.

  • Pooled z-tests at 95% and 90%
  • Mean, top-box, top-2 and bottom-2 companion tabs
  • Index and tier banners from the final scoring file
  • Independent recomputation before shipping

Open-end coding

Formal NET and sub-net codebooks, built with your research lead and applied consistently across marginals, crosstabs, dashboards and the report deck.

  • Codebook development and client sign-off
  • AI-probe follow-ups coded as one unit
  • Coded verbatim workbook with frequencies
  • Other/Not Classified held under 10%

Live dashboards and client portals

Password-protected web dashboards that move with the study: sample, pre-test, live fielding with a real-time completes counter, and a final results portal with every chart carrying its base.

  • Live completes and quota tracking
  • Interactive results by segment
  • Open-end theme modules with verbatims
  • Client-branded, no software to install

Advanced analytics and reporting

Index and scoring studies, segmentation, weighting sensitivity checks and insight-led report decks with in-line "by segment" tables after every major question.

  • Composite index design and tiering
  • Documented code-to-point scoring maps
  • Methodology sections that survive scrutiny
  • Executive decks with takeaway boxes
How a study runs

A fielding process built from what actually goes wrong.

Every step exists because skipping it once cost a study time or credibility. Clients see progress at every stage through their dashboard.

Design and banner

Questionnaire review, screener hardening, quota plan, and a banner drafted for your research lead to bless.

Program and pre-test

Programmed instrument, end-to-end vendor link tests, and a small pre-test wave before anything ships.

Soft launch

15 to 20 completes and one reconciliation cycle after any instrument change, then full release.

Live fielding

Real-time completes counter, quota fill, and quality flags visible to the client while sample is in the field.

QC and reconcile

Every complete screened. Accepted, rejected or review, each with a cause. Land exactly on contracted n.

Tabs, coding, report

Marginals, two-book crosstabs, coded open-ends, final dashboard and deck, all traceable to one final data file.

Interactive sample

This is what your team sees while the study is in the field.

A working example of a Carter Data Collection client dashboard. The numbers below are illustrative, but the layout, states and controls are exactly what ships. Click the segment filters to see the results views re-cut.

Sample dashboard · illustrative data · not a client study

Consumer Savings Attitudes Study

State: LIVE FIELDING · Field opened Aug 5 · Target n=150 · Last refresh 4 min ago
Completed live interviews
0
On pace · 76% of target
Quality-screened accept rate
92%
9 rejected · 7 in review
Median length of interview
11:42
Design estimate 12:00
Days remaining in field
4
Close scheduled Aug 16

Completes by day

Sample · n=114 to date

Quota fill by segment

Sample · target 50 per group

Q6. Top-2-box agreement with savings statements

Sample · Total n=114

Q9. Primary savings tool used

Sample · Total n=114

Q12. Why did you choose that tool? Coded themes (NET)

Sample · Total n=114 · % of respondents
"I want to see the balance move without thinking about it. The app rounds up and I forget it's there."Illustrative verbatim · NET 100 Automatic / effortless
Zero-incidence categories are omitted from charts by house rule. Every chart carries its base. Client portals are password-protected and update from the field file on a fixed cadence.
Quality standards

"Quality-screened" has a definition here.

Any methodology section we write can answer, on demand, how gross completes became the published n. These are the standing rules applied to every study.

01

Speed and pattern screens

Interviews under 180 seconds are removed automatically. Under 300 seconds with straight-lining or a junk open-end is removed with cause. Everything between is flagged for human review, never auto-rejected.

02

Duplicate and device checks

Duplicate-IP clusters are investigated on device, geography, timing and answer overlap before a decision. Overlapping sessions on one device profile are rejected together.

03

Eligibility enforcement

Respondents who reveal themselves outside the target population in an "Other (specify)" are removed. Client-priority segments are protected from borderline calls and only rejected on hard evidence.

04

Single source of truth

The final scoring or data file drives every downstream artifact. After any rescoring, every tab, chart and narrative claim is re-derived and diffed against recomputed values.

05

Independent recomputation

Before a tab book ships, every cell is recomputed independently and diffed against the built workbook, including derived banner columns at tier cutoffs.

What a reconciliation file looks like

Every vendor invoice reconciles to this. Every row has a reason a billing manager can read.

CaseID UID Status Reason 1042 a91f…3c ACCEPTED 1043 77be…e0 REJECTED Duration 96s (<180s) 1044 c30a…19 REVIEW Dup verbatim, low overlap 1045 5de2…b7 REJECTED Out of population 1046 e8c1…44 ACCEPTED … TOTAL 163 gross · 150 accepted · 9 rejected · 4 review

Trap questions and quality flags stay out of client-facing documents; methodology describes them generically as attention checking.

LC

Luis Carter

Founder, Carter Data Collection

30+ years in market research, 25+ years leading research and data collection teams. Based in Salt Lake City, Utah, working with clients nationally.

About

Run by someone who has sat on both sides of the deliverable.

Carter Data Collection is an independent market research firm led by Luis Carter, a research executive who spent three decades managing fielding operations, tabulation and reporting before building the firm around a simple idea: the research lead should never have to re-check the numbers.

Recent work includes a new-college concept study for CFSI, creator commerce research for LTK, and a composite index and scoring study for MINTY, each delivered with live dashboards, two-book crosstabs, coded open-ends and executive report decks.

Voxco programmingPanel and vendor managementSignificance testingIndex scoringOpen-end codingChart.js dashboardsExecutive B2B sampleWeighting checks
Start a project

Tell us about the study.

Share the audience, the rough n, and the deliverables you need. You'll get a scoped proposal with a fielding plan, timeline and quality rules, usually within two business days.

Salt Lake City, Utah · Mountain Time

No mailing lists. Replies come from Luis directly.