Open innovation brings ideas in from startups, suppliers, universities and consumers, and the usual problem is volume: hundreds of submissions and a scoring rubric built on opinion. Sena ranks them against demand already recorded in the markets each one would serve.
Open innovation programmes are good at generating submissions and poor at ranking them. A challenge run well returns hundreds of proposals, each argued by someone who believes in it, and the screening committee has a rubric, a morning and a shared sense that most of these will fade. The bottleneck sits at selection rather than sourcing.
Two hundred submissions and four reviewers produces a few minutes of attention each. At that ratio the proposals that advance are the ones that read well quickly, which correlates with the submitter’s writing and presentation rather than the merit of the idea. The programme measures pitch quality and reports it as a pipeline.
Screening rubrics ask reviewers to rate market potential, fit and feasibility. The first of those is a guess dressed as a score, since the reviewers are rating a market they hold opinions about rather than measurements of. Averaging several such guesses produces a number with a decimal point and the same underlying uncertainty.
The external network a company draws on reflects where it already looks. Accelerators, university links and supplier relationships all concentrate geographically, and a programme run from one region sources ideas shaped by that region’s assumptions about consumers. The markets where demand is growing fastest contribute fewest submissions.
Sena reports what consumers in each market already buy, substitute and describe wanting. An external proposal set against that gains a demand figure, which is the one rubric line reviewers were previously guessing at.
Whether consumers already pursue the outcome a submission promises to serve.
How many hold that want, in the specific countries the idea would launch into.
An ordered intake, so scarce reviewer attention goes to the proposals with evidence.
Open innovation is the practice of sourcing ideas and capability from outside a company: startups, suppliers, universities, customers and the public. It runs through challenges, accelerators, partnerships and licensing. This page treats the intelligence half, meaning how the resulting submissions get judged, and the judgment here rests on what consumers already buy in each market an idea targets.
| Page | The question it asks |
|---|---|
| Technology scouting | Who has already built the thing. |
| Competitive innovation analysis | What rivals launched, and how it landed. |
| Innovation whitespace intelligence | Where demand exists ahead of supply. |
| Open innovation intelligence | Which ideas can be sourced outside the company. This page. |
Platforms in this space manage the flow: collecting submissions, routing them to reviewers, tracking scores and reporting on the funnel. They solve the administration problem thoroughly and leave the judgment problem untouched, since the score a reviewer enters is still a reviewer’s opinion. Attaching a demand figure to each submission changes what the platform is moving around.
At enterprise scale the volume problem compounds: multiple challenges, several business units and submissions arriving in a dozen languages across as many markets. Consistency of judgment across that spread is the hard part, because a reviewer in one region scores market potential against the market they know. A common demand measure, counted the same way in every country, is what makes the scores comparable.
| Rubric line | Where the score comes from |
|---|---|
| Feasibility | Technical assessment, reasonably evidenced. |
| Strategic fit | Internal, and legitimately a judgment. |
| Team quality | Diligence on the submitter. |
| Market potential | Guessed, and it dominates the ranking. |
The fourth line usually carries the most weight and rests on the least evidence. Reviewers rate it from experience of markets they have worked in, which is a reasonable prior and a poor substitute for a count. Replacing that line with a demand figure per target market changes the ordering of the intake more than any other adjustment available.
External networks concentrate where a company already operates. Accelerator relationships, university partnerships and supplier links cluster around head office and the largest markets, so the submission pool reflects a subset of the world. That matters most where demand is growing fastest, since those markets are usually the least represented in the intake and the most relevant to what the company should build.
A proposal can be feasible, well presented and aimed at an outcome a thin slice of consumers pursue.
Demand for an idea differs by country, and a single potential score averages that into one number.
An idea competes against whatever people currently use, and that incumbent is measurable now.
The search results for this term run to software providers, platform comparisons and programme methodology pages. That says the commercial intent is real and the evidence question is thinly answered, since the pages ranking describe how to run a programme rather than how to judge what it produces. This is the only leaf in the function whose primary reads commercial, and that shapes what a reader arrives wanting.
| Output | What it settles | Where it goes wrong |
|---|---|---|
| Demand present | Whether consumers pursue the outcome | Scored from experience |
| Want size | How many, in which countries | Averaged to one figure |
| Incumbent | What they use today | Assumed to be absent |
| Price anchor | What the current answer costs | Taken from the proposal |
The first two rank an intake, and the last two say what a winning idea has to beat. A submission aimed at a want held by a fifth of consumers in three markets, where the current answer is expensive and poor, is a strong candidate whatever its pitch quality. The same submission aimed at a want held by a fortieth is a courteous decline, and a rubric alone rarely separates them.
| Channel | What the intake returns |
|---|---|
| Receipts | What consumers buy today for the outcome an idea targets. |
| Store captures | Whether anything on the shelf already answers it. |
| Geo-verified photos | The incumbent answer, priced and placed. |
| Stated preference | Whether consumers describe wanting what is proposed. |
Submission platforms, partner records and the challenge pipeline keep the owner they have. 250+ integrations set them beside the demand read, so a scored proposal and its market evidence sit on one row.
Real people share what they buy and prefer, under explicit consent. Sena captures it directly at the source, so every figure traces back to where it came from whenever a number comes under question.
The proposal and the demand it claims to serve arrive on one record, so an intake is ordered on evidence rather than presentation.
Figures in this exchange are illustrative.
Which proposals target an outcome consumers already pursue and pay for.
How large the want is in the specific countries an idea would enter.
The incumbent answer consumers use today, and what it costs them.
A submission platform can route four hundred proposals to the right reviewers. Whether consumers want any of them, it can say only through the scores those reviewers enter, since a proposal document carries zero market evidence of its own. This page supplies that evidence from the markets each idea targets, on the cycle the screening is happening in.
A proposal records what a submitter believes. Every figure behind this page comes from what consumers in the idea’s target markets bought, substituted, and described wanting, captured on the cycle the screening runs in.
A recorded purchase shows what consumers buy today for the outcome a submission targets.
Shelf photography establishes whether anything already answers the want, and at what price.
Signal arrives from the consumer network under explicit consent. Which outside idea a consumer would pay for is answered by the consumer.
Submission platforms, partner records and challenge pipelines attach over 250+ integrations.
Each intake source shows the purchases and markets an idea was matched against.
Screened intakes are kept, so a declined idea can be revisited when its market moves.
Own the challenge funnel. Need an intake ranked before review.
Own the investment case. Need demand in the target market.
Own the winning concept. Need the incumbent it displaces.
Own the local relevance. Need their market scored separately.
Submissions matched to wants counted at shelf.
External formats set against occasions consumers already serve.
Proposals judged against regimens people assemble now.
External propositions tested against consumer appetite.
One screen, run over external submissions against demand already recorded, beside the platform already collecting them. Every ranking keeps the purchases behind it, so a decline can be explained to the submitter.
Submissions arrive through the existing challenge or partner route, unchanged by anything here.
Each proposal’s target outcome is matched to what consumers in those markets buy and describe wanting.
The intake sorts by demand size, so reviewer attention lands on the proposals carrying evidence.
Most open innovation software moves submissions efficiently and leaves the judgment to a rubric. Sena supplies the missing rubric line.
| Capability area | Typical setup | Sena |
|---|---|---|
| Submission flow | Handled well by the platform. | Unchanged, and kept in place. |
| Market potential | Scored from reviewer experience. | Counted as a share of buyers. |
| Consistency | Varies by reviewer’s home market. | One measure across 190+ countries. |
| Ranking | Follows pitch quality. | Follows demand behind the idea. |
| Incumbent | Assumed from the proposal. | Read from the shelf today. |
| Geography | Averaged into one score. | Held per target market. |
| Evidence in a review | A scoring sheet. | Photographs, dated and placed. |
Three screening questions a rubric answers poorly.
Order a challenge intake by demand before reviewer attention is spent on it.
See global consumer intelligence →Give reviewers in every business unit one demand measure counted the same way.
See competitive shelf intelligence →Define the next challenge around a want already counted in the target markets.
See market entry and expansion intelligence →Every innovation decision Sena answers, in one place
Searching over collecting
Goes looking for a named capability, where this page waits for submissions.
Explore technology scouting → IN4Writing the challenge
Defines the gap a challenge should be aimed at before it opens.
Explore innovation whitespace intelligence → IN8Whether a rival answered
Shows whether a competitor has already shipped against the same want.
Explore competitive innovation analysis → IN1Where a winner lands
Holds the build agenda a selected submission joins once it is chosen.
Explore innovation intelligence →The session takes a challenge intake the team already holds, matches each submission to what consumers in its target markets buy and describe wanting, sizes the demand behind every one, and reorders the list before review.
Bring the intake and the markets its ideas would serve.