1000minds
Decision-making software
Decision management software
Survey software
Process automation software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$4,500 per survey
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What is 1000minds
1000minds is a decision-making and prioritization platform that helps teams and researchers rank options using structured pairwise comparisons and multi-criteria decision analysis (MCDA). It is used for product and portfolio prioritization, resource allocation, policy and health research, and other scenarios where trade-offs must be made explicit and auditable. The product combines survey-style data collection with an analysis engine that produces ranked results and weights based on participant inputs. It is typically adopted by analysts, product leaders, and research teams that need transparent prioritization methods rather than free-form feedback collection.
Structured MCDA prioritization method
The platform centers on pairwise comparisons to derive criteria weights and option rankings, which supports more defensible prioritization than simple voting or scoring. This approach is useful when stakeholders disagree and trade-offs need to be made explicit. Results can be traced back to the underlying comparisons, which helps explain why an option ranks higher. It fits decision contexts where consistency and rationale matter more than discussion threads.
Survey-based stakeholder input
1000minds can collect inputs from multiple participants in a survey-like workflow, enabling distributed decision-making. This supports use cases such as customer or expert panels, internal stakeholder alignment, and research studies. The method reduces the need for participants to provide absolute scores, focusing instead on comparative judgments. That can improve participation quality when respondents struggle with numeric rating scales.
Clear outputs for ranking
The product produces ranked lists and associated weights that can be used to guide prioritization and allocation decisions. These outputs are well-suited to reporting and decision documentation because they summarize complex preferences into a consistent model. Teams can use the results to compare scenarios and communicate trade-offs to governance groups. This is particularly relevant in regulated or research-driven environments where decision justification is required.
Less suited for ideation
The product focuses on evaluating and ranking known options rather than capturing, clustering, and discussing large volumes of qualitative feedback. Organizations looking for continuous feedback intake, conversation workflows, and idea lifecycle management may need additional tools. The workflow assumes you can define options and criteria up front. Early-stage discovery and open-ended ideation can be harder to support within the core model.
Setup requires decision design
Effective use depends on defining criteria, options, and comparison structures carefully, which can require analytical skills and stakeholder alignment. Poorly framed criteria or option sets can lead to results that are difficult to interpret or defend. This upfront design effort can slow adoption for teams that want lightweight prioritization. Some organizations may need training or facilitation to use MCDA appropriately.
Limited process automation breadth
While it supports structured decision workflows, it is not a general-purpose process automation platform. Organizations seeking broad workflow automation (e.g., complex approvals across multiple systems, extensive integrations, or end-to-end operational orchestration) may find the automation scope narrower. Integration depth and extensibility can be a deciding factor for enterprises with established toolchains. In those cases, 1000minds may function as a decision module rather than the system of record.
Plan & Pricing
| Plan / Offering | Price | Key features & notes |
|---|---|---|
| Market research — self-service conjoint analysis | $4,500 per survey (one-off), up to 5,000 participants | Automated conjoint/DCE surveys, up to 5,000 respondents, results in real time. |
| Recruitment decision-making (hiring application) | $4,500 per hiring application (one-off) | Create candidate-evaluation applications to rank candidates against selection criteria. |
| Employee preferences research | $9,000 per survey (one-off), up to 5,000 participants | Survey employees about wages/benefits; includes expert support and reporting. |
| Health research decision-making / Research & funding prioritization | $12,000 per research decision-making application | Tools for evaluating research/grant applications or health research decision-making. |
| Patient prioritization tool (health) | $20,000 per patient prioritization tool (one-off) | Create and implement patient prioritization tools across health systems; includes support and reporting. |
| Conjoint analysis & DCE — in-house research platform | $25,000 per year (for 6+ surveys, up to 5,000 participants each) | Annual subscription for in-house conjoint/DCE program; allows unlimited collaborators, billed annually. |
| Full decision-making suite / Preferences research | $25,000 per year | Full-feature decision-making suite for ranking, prioritizing and group decision-making; includes expert support. |
Notes: Subscriptions are usually billed annually in advance; payment by bank transfer or credit card in multiple currencies; a 15-day free trial and free onboarding call are available (per 1000minds official pricing pages).
Seller details
1000minds Ltd
Wellington, New Zealand (Unsure)
Private
https://www.1000minds.com/
https://x.com/1000minds
https://www.linkedin.com/company/1000minds/
