Data documented well enough to replicate.
Institutional exposure is not cost — it is the reviewer, the records request, and the replication attempt. PolitiMind delivers pre-specified instruments, versioned weighting, recorded computation, and stated limitations with every dataset.
The pressure
Most survey data is not documented well enough to defend
Sampling frames are proprietary, eligibility is self-declared, exclusions arrive as an unexplained N, and the weighting procedure is described in prose rather than versioned. A reviewer asking how a specific estimate was produced is asking a question the vendor's memo cannot answer.
That gap is not a rigor problem inside your team — it is a records problem upstream of it. It shows up in peer review, in FOIA responses, and in the replication attempt that cannot reconstruct your procedure.
What changes
Documentation generated from the record, not written afterwards
PolitiMind runs pre-specification, design review, feasibility, verified admission, fielding, integrity review, weighting, and computation in one system that records each step. The data-and-methods section describes what actually happened because it is assembled from the same record a reviewer can check.
What institutions actually run on PolitiMind
Peer-reviewed studies
Will a reviewer accept how this data was collected?
Field with a frozen instrument, a recorded method version, and a documented weighting approach, so the data-and-methods section describes a record rather than a vendor summary.
How assurance is separatedExperimental and choice designs
Can I run the design my question actually requires?
Run randomized item blocks, conjoint, MaxDiff, and pre/post designs inside the same recorded specification and computation pipeline as a standard read.
How designs are reviewedLongitudinal and recontact panels
Can I measure the same population again?
Repeat measurement against the same verified population under a versioned method, with recontact handled through the platform so identity never reaches your institution.
How waves are deliveredGovernment and policy research
Will this hold up under FOIA or a hearing?
Produce figures whose sampling frame, exclusions, weighting, uncertainty, and limitations are recorded at the time of computation, not reconstructed later under records request.
What a record provesFederal data context
How does opinion sit against administrative data?
Join a read to public federal series — spending, campaign finance, labor, and census context — with each series named, dated, and traced to its source.
Explore the federal KPIsReplication and re-analysis
Can someone else recompute this figure?
Hand a reviewer the specification, method version, exclusion summary, and computation run, so recomputation is a procedure rather than a negotiation.
See published results
From a research question to a dataset a reviewer can check
- 01
Start from the research question
The hypothesis and analysis intent are recorded before fielding.
Pre-specifying the analysis is what separates a finding from a search. The intent is recorded with the specification and is later comparable to what was reported.
- 02Beta
Design and review
The instrument and design are drafted, reviewed, and frozen at a version.
Design review flags leading construction, double-barrelled items, and infeasible cuts. Advanced designs — conjoint, MaxDiff, randomized blocks — are specified here.
- 03
Check feasibility before spend
Reachability of the target population is shown before a budget or grant line commits.
A subgroup that cannot be filled at usable precision is visible in advance, rather than discovered in the field report.
- 04
Field under integrity review
Verified admission, then continuous integrity review with recorded exclusions.
Exclusions are summarised with the dataset, so a reviewer sees what was removed and on what basis instead of an unexplained N.
- 05
Compute at a stated method version
Weighting and estimation run under a registered, versioned method.
Every figure carries the method version that produced it, so a re-analysis knows exactly which procedure to reproduce.
- 06
Deliver with documentation
Dataset, specification, exclusions, weighting notes, and limitations ship together.
Documentation is generated from the record, not written afterwards from memory.
What is documented
Each layer of documentation, and what it does not establish
Documentation is only useful if it is honest about its own reach. Each layer below states what it establishes and what it explicitly does not, so nothing on this page can be read as a claim that verified collection settles an inferential question.
Delivered documentation package
- L06
Pre-specification
ProvesThe instrument, population definition, and analysis intent existed before fielding, at a fixed version.
Does not proveThat the specified analysis was the right analysis, or that the hypothesis was well posed.
- L05
Verified admission
ProvesEach response came from a uniquely verified, eligible participant, established at entry.
Does not proveThat the resulting sample is representative of the target population.
- L04
Integrity exclusions
ProvesDuplicate, coordinated, and low-quality participation was flagged and removed, with a recorded summary.
Does not proveThat no manipulation occurred, or that exclusion decisions are free of judgment.
- L03
Versioned weighting and estimation
ProvesThe estimate was produced by a registered method version whose inputs and parameters are recorded.
Does not proveThat the weighting scheme is the correct one for your inferential target.
- L02
Uncertainty and limitations
ProvesIntervals and known limitations were stated at computation time, with the figure.
Does not proveThat stated intervals cover nonresponse bias, coverage gaps, or wording effects.
- L01
Tamper-evident commitment
BetaProvesA later silent change to a released record becomes detectable by an outside party.
Does not proveAccuracy of any figure, and it is not certification. Test network only.
Verified collection
Before spend
Underpowered subgroups are visible before a grant line commits
The most expensive discovery in survey research is that the subgroup your analysis depends on could not be filled. Feasibility narrowing is shown before fielding, in structure rather than in figures — every real number is computed per study, against your own specification.
- Verified populationEveryone eligible to answer at all
- Target populationYour inferential target, as specified
- Eligible after screeningScreeners and quotas applied
- Reachable in field windowWithin your grant or deadline window
- Usable subgroup cellsCells that support a reportable estimate
Reviewed before any spend commits
- Which subgroups can carry a reportable estimate
- Which cuts are underpowered as specified
- Field window implied by the design
- Design changes that make the target reachable
Illustrative narrowing structure. Bar widths express narrowing, not measured values; feasibility figures are computed per study.
Proof walkthrough
When each piece of documentation comes into existence
Step through a study the way a reviewer, a records officer, and then a replication team would. Each phase names what documentation is created, who outside your institution can check it, and what that check does not settle. Where transparency is still a commitment rather than a capability, it says so.
An institutional study, phase by phase
At pre-specification
Before fielding, when the design is frozen.
- Evidence created
- Hypothesis, instrument, population definition, and analysis intent are recorded at a fixed version and timestamped.
- Who can check it
- Your co-authors and IRB reviewers, and any journal reviewer comparing the reported analysis to the recorded intent.
- What it does not settle
- Pre-specification is recorded on the platform. It is not a substitute for registration on a public pre-registration registry, which remains your institution's responsibility.
Phase 1 of 9: At pre-specification
Live evidence versus planned transparencyPre-specification, feasibility, verified admission, integrity exclusion, recorded computation at a stated method version, and documented delivery are live today. AI-assisted design review, advanced method coverage, and repeat-wave panels are beta. Tamper-evident anchoring is beta on Base Sepolia and not available on mainnet. Independent review is planned and does not exist yet — never cite PolitiMind as audited or accredited in a paper.
Model comparison
Where this differs from a commissioned vendor dataset
This compares approaches, not vendors. No research organization is named or characterised, and rows that depend on how a specific provider works carry that caveat. If a row matters to your review committee, ask your current data provider the same question.
Institutional survey data, model by model
| Dimension | Commissioned vendor dataset | PolitiMind |
|---|---|---|
| What accompanies the dataset | A methodology memo describing the vendor's process, with specifics available on request. | Specification, exclusion summary, weighting notes, method version, and limitations are generated from the record and delivered with the data.The assurance model |
| Reproducing a published figure | Re-analysis depends on whether the vendor retained and will share the exact procedure used. | Each figure names the registered method version and computation run required to recompute it.The audit timeline |
| Who answered | Panel eligibility is largely self-declared and rarely verified against an authoritative source. | Identity verification happens before a person can answer, so eligibility is established at admission.How verification works |
| Advanced designs | Conjoint, MaxDiff, and experimental blocks are often quoted as separate custom engagements.Practice varies: Method coverage is expanding; confirm your specific design before relying on it for a grant deliverable. | These designs run inside the same recorded specification and computation pipeline as a standard read. Beta The polling system |
| Repeat measurement | Recontact depends on panel churn and on contract language negotiated per wave.Practice varies: Published wave history is short, and panel depth limits some local cuts today. | Waves reuse the frozen instrument and versioned method, with recontact handled inside the platform. Beta How waves are delivered |
| Human-subjects and privacy posture | Respondent-level identifiers are often delivered to the institution under a data-use agreement. | Identity and response data are held separately, and identity-linked microdata never leaves the platform — you receive de-identified population data.Verification without surveillance |
Symmetry and authority
What you can state in a paper, and what stays with your institution
Verification, weighting, integrity review, and disclosure are identical for every institution and every subject measured, in every party. Approval authority does not move: IRB review, human-subjects determinations, and data-use agreements remain your institution's, and we supply documentation to support them rather than a substitute for them.
What you can state
- Participants were identity-verified before answering, and admission is recorded.
- The instrument was frozen at a stated version before fielding.
- Exclusions were applied during field and are summarised with the dataset.
- Each estimate names the registered method version that produced it.
- Intervals and known limitations were stated at computation time.
- The delivered figures can be recomputed from the delivered specification.
What you must not state
- That PolitiMind data is probability-sampled from a full national frame.
- That PolitiMind is independently audited, accredited, or certified.
- That verification removes sampling error, nonresponse bias, or wording effects.
- That PolitiMind granted IRB or human-subjects approval — that stays with your institution.
- That identity-linked microdata or participant contact details can be obtained.
- That recomputation of our procedure validates the procedure itself.
For a specific submission, ask us for the methodology statement tied to that study's method version rather than reusing language from an earlier dataset.
Known limits
What this page does not promise
PolitiMind is not a probability-sampled national frame, and it does not forecast elections. Advanced method coverage and repeat-wave panels are beta, so confirm your specific design before it becomes a grant deliverable. Verified admission and recorded computation remove whole classes of integrity failure and leave sampling error, coverage gaps, nonresponse bias, and question-wording effects exactly where they were. Identity-linked microdata and participant contact details never leave the platform, so identity-based linkage designs are not supported, and no independent accreditation of our methods exists today.
What this page claims
- Methodology is stated in plain language — sampling frame, weighting approach, margin of error, and known limitations travel with every result.
- BetaThe platform supports advanced research designs including trackers, recontact studies, experiments, MaxDiff, conjoint, and pre/post measurement.
- Published results carry provenance: the specification, method version, and computation run behind a number are recorded and inspectable.
- Participation requires identity verification, so responses come from confirmed real people rather than anonymous traffic.
- Participant identity and response data are held separately, so buyers receive population-level intelligence and never participant identities.
- Sentiment is placed next to federal public records — campaign finance, spending, and economic indicators — so opinion is read in context.
PolitiMind claims pre-specified instruments, verified admission, integrity controls, versioned weighting, recorded computation, and delivered documentation. It does not claim probability sampling from a national frame, electoral forecasting, IRB authority, independent accreditation, or feasibility for every subgroup today. Advanced methods, repeat-wave panels, and tamper-evident anchoring are beta; independent review is planned.
Check it before you cite it
Methodology is stated in plain language — sampling frame, weighting approach, margin of error, and known limitations travel with every result.
Read the assurance modelThe platform supports advanced research designs including trackers, recontact studies, experiments, MaxDiff, conjoint, and pre/post measurement.
See the method coveragePublished results carry provenance: the specification, method version, and computation run behind a number are recorded and inspectable.
Trace a published figureSentiment is placed next to federal public records — campaign finance, spending, and economic indicators — so opinion is read in context.
Explore the federal seriesNext step
Field one study you would have to defend anyway
The useful test is not a capability deck. Take a question already in your research plan, field it here, and judge the delivery on one thing: could a reviewer recompute the reported estimate from the documentation alone, without asking you for anything.
Continue the argument
Methodology
Confirm PolitiMind understands sampling, weighting, and uncertainty
Read itProof of Integrity
Inspect how a published number can be checked
Read itPolling Platform
See how a study goes from specification to fielded, closed, and reported
Read itPublic Results
Inspect a real published result and its methodology
Read it